# Best Image Recognition Software - Page 4 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Image recognition software, also known as computer vision, allows applications to understand and interpret images or videos, taking image data as input and providing outputs such as labels or bounding boxes, enabling capabilities including object recognition, facial recognition, logo detection, and scene reconstruction. ### Core Capabilities of Image Recognition Software To qualify for inclusion in the Image Recognition category, a product must: - Provide a deep learning algorithm specifically for image recognition - Connect with image data pools to learn a specific solution or function - Consume image data as an input and provide an output - Provide image recognition capabilities to other applications, processes, or services ### Common Use Cases for Image Recognition Software Data scientists and developers use image recognition software to add computer vision capabilities to applications and automate visual analysis tasks. Common use cases include: - Training custom image recognition models for object detection, facial recognition, and explicit content detection - Adding image or video recognition features to applications via machine learning libraries, APIs, or SDKs - Enabling edge-based or on-device image processing for real-time recognition without cloud dependency ### How Image Recognition Software Differs from Other Tools Image recognition software is distinct from related categories: [data science and machine learning platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) provide broad ML capabilities and are not solely focused on image recognition, while [machine learning software](https://www.g2.com/categories/machine-learning) covers other ML capabilities such as recommendation engines and pattern recognition beyond visual data. Software designed specifically for recognizing text within images belongs to the [optical character recognition (OCR)](https://www.g2.com/categories/ocr) category. ### Insights from G2 on Image Recognition Software Based on category trends on G2, API flexibility and accuracy of deep learning models stand out as standout capabilities. Faster integration of computer vision features into products stand out as a primary outcome of adoption. ## Category Overview **Total Products under this Category:** 407 ## Trust & Credibility Stats **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,500+ Authentic Reviews - 407+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Best Image Recognition Software At A Glance - **Leader:** [Roboflow](https://www.g2.com/products/roboflow/reviews) - **Highest Performer:** [Kwikpic](https://www.g2.com/products/kwikpic/reviews) - **Easiest to Use:** [Roboflow](https://www.g2.com/products/roboflow/reviews) - **Top Trending:** [NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/products/nvidia-deep-learning-gpu-training-system-digits/reviews) - **Best Free Software:** [Roboflow](https://www.g2.com/products/roboflow/reviews) --- **Sponsored** ### JFrog JFrog Ltd. (Nasdaq: FROG), the creators of the unified DevOps, DevSecOps, DevGovOps and MLOps platform, is on a mission to create a world of software delivered without friction from development to production. Driven by a “Liquid Software” vision, the JFrog Platform is a software supply chain system of record that is designed to power organizations as they build, manage, and distribute secure software with speed and scale. Holistic security features help identify, protect, and remediate against threats and vulnerabilities. The universal, hybrid, multi-cloud JFrog Platform is available as both SaaS services across major cloud service providers and self-hosted. Millions of users and approximately 6,600 organizations worldwide, including a majority of the Fortune 100, depend on JFrog solutions to securely embrace digital transformation in the AI era. Learn more at www.jfrog.com or follow us on X @JFrog. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=690&secure%5Bdisplayable_resource_id%5D=2449&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1910&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=143017&secure%5Bresource_id%5D=690&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fimage-recognition%3Fpage%3D3&secure%5Btoken%5D=5a844a8c0f3eee7f3fa00d086bbe2198b710c72dd1ec2fc083a2b1ad6693209e&secure%5Burl%5D=https%3A%2F%2Fjfrog.com%2Fartifactory%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc_social%26utm_campaign%3Dbrand_awareness_banner_ad%26utm_content%3Du-bin&secure%5Burl_type%5D=custom_url) --- ## Top-Rated Products (Ranked by G2 Score) ### 1. [EfficientNet](https://www.g2.com/products/efficientnet/reviews) This model provides top-k category predictions out of 1000 classes on ImageNet. This network provides state of the art accuracy on ImageNet validation (top-1: 82.242 - top-5: 96.114) at the same time it provides a smaller model and faster inference. It features a simple pricing model where only pay for what you use with a simple metered pricing model. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 10.0/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 8.3/10 (Category avg: 8.4/10) - **Bounding Boxes:** 10.0/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Extrapolations](https://www.g2.com/sellers/extrapolations-ba10c991-4437-4d5a-b8ec-e7f1b5431651) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 2. [Face Analysis API](https://www.g2.com/products/face-analysis-api/reviews) Face detection and comparison API offers precise facial landmark identification and reliable face comparison, ready for quick deployment. It provides an effective way to integrate facial recognition into your projects. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 10.0/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 10.0/10 (Category avg: 8.4/10) - **Bounding Boxes:** 10.0/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [API4AI](https://www.g2.com/sellers/api4ai) - **Year Founded:** 2020 - **HQ Location:** Scotts Valley, California - **Twitter:** @Api4Ai (34 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/api4ai (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 3. [FaceX](https://www.g2.com/products/facex/reviews) FaceX provides a face detection and face recognition web service that can be integrated to your apps with just a few lines of code. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 10.0/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 10.0/10 (Category avg: 8.4/10) - **Bounding Boxes:** 10.0/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [FaceX](https://www.g2.com/sellers/facex) - **HQ Location:** Helsinki, FI - **LinkedIn® Page:** https://www.linkedin.com/company/14499366 (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 4. [GoSpotCheck by FORM](https://www.g2.com/products/gospotcheck-by-form/reviews) GoSpotCheck by FORM is an industry-leading field execution app that guides, tracks, and improves performance in real time. Our easy-to-use mobile solution unleashes the power of field teams to drive market execution with dynamic task management, cutting-edge image recognition, photo reporting, field team communications, and advanced reporting – all within one easy-to-use platform. Guide teams, improve execution, and drive sales while creating a shared view of the field that helps leaders make better decisions, faster. **Average Rating:** 4.7/5.0 **Total Reviews:** 66 **User Satisfaction Scores:** - **Ease of Use:** 9.5/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [FORM](https://www.g2.com/sellers/form-a0713402-5d88-4ae8-a2ea-2245be8dee71) - **Year Founded:** 2011 - **HQ Location:** Denver, CO - **Twitter:** @Form_com (283 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2286254/ (31 employees on LinkedIn®) **Reviewer Demographics:** - **Top Industries:** Consumer Goods, Retail - **Company Size:** 46% Mid-Market, 34% Enterprise #### Pros & Cons **Pros:** - Ease of Use (1 reviews) - Helpful (1 reviews) - Note Management (1 reviews) - Option Variety (1 reviews) - Product Usefulness (1 reviews) ### 5. [Hitachi Video Analytics](https://www.g2.com/products/hitachi-video-analytics/reviews) Hitachi Video Analytics (HVA) helps organizations gain the full value from their video data to create smarter environments that can rapidly adapt to the changing demands of customers. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Hitachi Vantara](https://www.g2.com/sellers/hitachi-vantara) - **HQ Location:** Santa Clara, CA - **Twitter:** @HitachiVantara (28,434 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hitachi-vantara/ (10,576 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Mid-Market #### Pros & Cons **Pros:** - Performance (1 reviews) - Workflow Efficiency (1 reviews) **Cons:** - Not User-Friendly (1 reviews) - Privacy Issues (1 reviews) ### 6. [Hive Logo Model](https://www.g2.com/products/hive-logo-model/reviews) Hive's logo model automatically detects logos in images and videos to monitor and monetize your visual content. It measures three things: 1. Logos: Pre-trained on 5,000+ brands 2. Brand prominence: Algorithmic measure of a logo's size, clarity, centrality, and exclusivity calibrated with human response data 3. Placement: The logo's physical location in content **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 8.3/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 8.3/10 (Category avg: 8.4/10) - **Bounding Boxes:** 8.3/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Hive.ai](https://www.g2.com/sellers/hive-ai) - **Year Founded:** 2013 - **HQ Location:** San Francisco, California - **Twitter:** @hive_ai (3,780 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hiveai (510 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 7. [HYPERVISE.AI](https://www.g2.com/products/hypervise-ai/reviews) Empower Your Business with Cutting-Edge AI Technology Hypervise revolutionizes your industrial processes with state-of-the-art AI Visual Inspection Software for Manufacturing. By leveraging Computer Vision and Deep Learning technologies, Hypervise turns industrial data into actionable insights through seamless hardware integrations, including cameras, sensors, robots, and automation systems. Key Offerings: 1. Safety Surveillance: Ensure 100% safety compliance with advanced AI monitoring. Hypervise’s AI Visual Inspection Software significantly reduces incidents, keeping your workforce protected. Key Features: PPE Detection, Crowd Gathering Analysis, Virtual Geofencing. 2. Action Recognition: Enhance productivity and process compliance with real-time insights. Use AI Visual Inspection Software to reduce assembly defects by optimizing Time & Motion Analysis, Action Sequencing, and SOP Adherence. Key Features: AI Models, Edge Devices, Video Analytics. 3. Inspection: Achieve flawless quality control with the power of Computer Vision Software. Hypervise integrates Deep Learning with Machine Vision to identify defects and ensure precision in production. Key Features: Object Counting, Dimension Verification, Color Analysis. Why Choose Hypervise? Increased Productivity & Efficiency: Drive business growth with AI-enhanced solutions designed for manufacturing. Expanded Quality Control: Maximize defect reduction with advanced AI Visual Inspection Software. Digitization & Custom Reporting: Access actionable insights with data-rich, custom reports. Real-Time Alerts: Foster a responsive and agile operational environment with instant notifications. Schedule a Demo Today Transform your manufacturing processes with Hypervise – where AI Visual Inspection meets innovation. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 8.3/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 8.3/10 (Category avg: 8.4/10) - **Bounding Boxes:** 8.3/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Eternal Robotics](https://www.g2.com/sellers/eternal-robotics) - **Year Founded:** 2019 - **HQ Location:** Hyderabad, IN - **LinkedIn® Page:** https://www.linkedin.com/company/eternal-robotics (58 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Enterprise #### Pros & Cons **Pros:** - Accuracy (1 reviews) - Features (1 reviews) ### 8. [Image Classifier with auto Deep Learning](https://www.g2.com/products/image-classifier-with-auto-deep-learning/reviews) This solution automatically identifies and trains the best performing deep learning model for image classification. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 6.7/10 (Category avg: 8.7/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) - **Custom Image Detection:** 6.7/10 (Category avg: 8.4/10) - **Bounding Boxes:** 8.3/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Mphasis](https://www.g2.com/sellers/mphasis-5a2b4772-cd1c-4cbd-bf88-54fc79a85d25) - **Year Founded:** 2007 - **HQ Location:** Reston, VA - **Twitter:** @Stelligent (1,108 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/220927 (16 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 9. [Image Recognition](https://www.g2.com/products/image-recognition/reviews) Imagga is an image recognition platform-as-a-service that provides image tagging APIs for developers and businesses to build scalable, image and video intensive apps. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 8.3/10 (Category avg: 8.7/10) - **Ease of Use:** 5.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 6.7/10 (Category avg: 8.4/10) - **Bounding Boxes:** 10.0/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Imagga](https://www.g2.com/sellers/imagga) - **Year Founded:** 2011 - **HQ Location:** Sofia, BG - **Twitter:** @imagga (1,324 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/imagga/ (16 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 10. [Kibsi](https://www.g2.com/products/kibsi/reviews) Kibsi is a radically new way to develop, deploy, and manage vision-enabled solutions at scale. Our cloud-native, low-code platform democratizes computer vision, allowing you to focus on your business needs, not the complexity. Kibsi turns unstructured video from cameras into structured data - in real-time. Our low-code environment enables you to easily define a custom data model to map the physical world into data objects, apply business rules, build state machines, detect critical events, collect metrics, and trigger real-time actions - with just a few clicks. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 8.3/10 (Category avg: 8.7/10) - **Ease of Use:** 6.7/10 (Category avg: 8.8/10) - **Custom Image Detection:** 8.3/10 (Category avg: 8.4/10) - **Bounding Boxes:** 6.7/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Kibsi](https://www.g2.com/sellers/kibsi) - **Year Founded:** 2021 - **HQ Location:** Irvine, US - **Twitter:** @TeamKibsi (34 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kibsi (18 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Enterprise, 100% Mid-Market ### 11. [Make and model recognition](https://www.g2.com/products/make-and-model-recognition/reviews) Make and model recognition (MMR) is an AI-based software providing detailed vehicle classification. The product recognizes with extremely high accuracy the category, make, model, generation, variant and color of the captured cars from front, front-side, rear and rear-side views in day and night conditions. A unique feature of the product is the recognition of so-called TAGs, i.e. detection of emergency vehicles, fire brigade, pickup truck, taxis... the software can distinguish 20 such tags. It also recognizes objects from the field of softmobility, i.e. it is able to detect pedestrians, cyclists, animals, strollers and other trolleys. MMR is updated every six months to include newly launched car models from Europe, North and South America, East Asia, the Middle East, Africa, and Australia. Typical applications: e-tolling, traffic safety and surveillance, law enforcement, access control and parking management, police and governmental use, traffic infrastructure planning, smart city solutions, and more. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 10.0/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Eyedea Recognition](https://www.g2.com/sellers/eyedea-recognition) - **Year Founded:** 2006 - **HQ Location:** Praha 2, CZ - **LinkedIn® Page:** https://www.linkedin.com/company/1281906/ (8 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business #### Pros & Cons **Pros:** - Accuracy (1 reviews) - Object Recognition (1 reviews) ### 12. [Mphasis Scanned Document Tilt Correction](https://www.g2.com/products/mphasis-scanned-document-tilt-correction/reviews) Scanned documents sometimes can have pages with wrong alignment. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solution incorporates statistical models which identify angle of tilt based on textual orientation, position of text relative to page boundaries and text clusters and corrects the alignment / tilt of the pages. This enables OCR / ICR engines to achieve higher accuracy and improves the subsequent text extraction pipelines. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Ease of Use:** 6.7/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Mphasis](https://www.g2.com/sellers/mphasis-5a2b4772-cd1c-4cbd-bf88-54fc79a85d25) - **Year Founded:** 2007 - **HQ Location:** Reston, VA - **Twitter:** @Stelligent (1,108 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/220927 (16 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Enterprise #### Pros & Cons **Cons:** - Maintenance Issues (1 reviews) - Slow Performance (1 reviews) ### 13. [OpenFace](https://www.g2.com/products/openface/reviews) OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Seller Details:** - **Seller:** [OpenFace](https://www.g2.com/sellers/openface) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Mid-Market ### 14. [Osaro](https://www.g2.com/products/osaro/reviews) At Osaro, we're creating AI software that combines state-of-the-art perception with powerful adaptive decision-making abilities to help computer and robotic systems act efficiently and intelligently. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 10.0/10 (Category avg: 8.7/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) - **Custom Image Detection:** 10.0/10 (Category avg: 8.4/10) - **Bounding Boxes:** 10.0/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Osaro](https://www.g2.com/sellers/osaro) - **Year Founded:** 2015 - **HQ Location:** San Francisco, US - **Twitter:** @OsaroAI (749 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/osaroinc/ (77 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 15. [Pilot AI](https://www.g2.com/products/pilot-ai/reviews) Pilot AI is a drop-in neural network solution for computer vision applications. The platform handles data ingestion, data labeling, model training, and on-camera applications ranging from object detection to a multitude of analytics packages that all run in real-time on even the most compute-constrained cameras. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Pilot AI](https://www.g2.com/sellers/pilot-ai) - **Year Founded:** 2017 - **HQ Location:** Irvine, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/syntiant-corp/ (251 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Mid-Market ### 16. [PixLab](https://www.g2.com/products/pixlab/reviews) PixLab is a Machine learning SaaS platform which offer computer vision and media processing APIs for developers/designers looking to implement intelligent code for their apps. PixLab is built with the following features: - Over 130 Machine Vision & Media Processing API endpoints. - State-of-the-art Optical character recognition, face detection, facial landmarks extraction, Real-time object & user recognition. - 1TB of media storage served from a highly available CDN over SSL. - NSFW content classification & filtering. - API for official documents (passports, ID cards) scanning. - AWS S3 Integration & highly available technical support. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Object Detection:** 8.3/10 (Category avg: 8.7/10) - **Ease of Use:** 6.7/10 (Category avg: 8.8/10) - **Custom Image Detection:** 8.3/10 (Category avg: 8.4/10) - **Bounding Boxes:** 8.3/10 (Category avg: 8.3/10) **Seller Details:** - **Seller:** [Pixlab](https://www.g2.com/sellers/pixlab) - **Year Founded:** 2017 - **HQ Location:** Houston , US - **LinkedIn® Page:** https://www.linkedin.com/company/pixlabio (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 17. [SpeedSize AI-Media Optimization](https://www.g2.com/products/speedsize-ai-media-optimization/reviews) SpeedSize neuroscience-powered AI analyzes your images and videos to eliminate the data the human brain cannot perceive, then recreates it in identical quality - but smaller in size - and delivers the optimal file for each website visitor. Upgrade your website's product presentation to 4k-quality images and auto-play videos without slowing down your website. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [SpeedSize™](https://www.g2.com/sellers/speedsize) - **Year Founded:** 2019 - **HQ Location:** HaMerkaz, IL - **LinkedIn® Page:** https://www.linkedin.com/company/speedsize/ (40 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 18. [Squirrel](https://www.g2.com/products/difinative-technologies-squirrel/reviews) SQUIRREL is a SaaS platform empowered with Artificial Intelligence, Computer Vision, and Data Analytics that provides your enterprise with the ability to Sense, Analyze and Control many aspects of the physical world digitally. In the real world, it means granular control of inventory, improved demand planning, and a tighter supply chain. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Ease of Use:** 6.7/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Difinative Technologies](https://www.g2.com/sellers/difinative-technologies) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Enterprise ### 19. [Tractable](https://www.g2.com/products/tractable/reviews) The speed and accuracy of AI. Now applied to visual assessment. Tap into the power of visual AI to help assess, repair and protect cars and homes. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **User Satisfaction Scores:** - **Ease of Use:** 8.9/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Tractable](https://www.g2.com/sellers/tractable) - **Year Founded:** 2014 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/tractable (204 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 75% Mid-Market, 25% Small-Business ### 20. [360 facevision](https://www.g2.com/products/360-facevision/reviews) 360 FaceVision, developed by Axix Technologies, is an advanced AI-powered facial recognition attendance system designed to revolutionize workforce management. By integrating cutting-edge technology with user-friendly interfaces, it offers swift and accurate attendance tracking, enhancing operational efficiency and security across various organizational settings. Key Features and Functionality: - Smart Interface: Intuitive touch screen interface ensures easy navigation and interaction. - Rapid Recognition: Lightning-fast AI-based face recognition technology provides swift and accurate attendance tracking. - Seamless Integration: Easily integrates with existing management software systems, minimizing operational disruptions. - Shifts Management: Efficiently handles multiple shifts without conflicting attendance data, offering flexibility for diverse work schedules. - Centralized Access: Single-window operation provides multi-branch access control, simplifying administrative tasks. - Real-Time Transmission: Organizational servers receive attendance and related data in real time, enabling immediate access to up-to-date information. - Role-Specific Consoles: Tailored consoles for employers, managers, and employees deliver role-specific functionalities, streamlining user experience. - Efficient Reporting: Robust reporting system enables comprehensive tracking of organizational efficiency and attendance metrics. - Customized Policies: Offers complete flexibility to customize HR policies and organizational rules according to specific requirements. - Payroll Management: Streamlines management of leaves, loans, bonuses, overtime, and payroll tasks, ensuring hassle-free processing. - Remote Access Control: Empowers flexible working arrangements with secure management of employee access from remote locations. - Data Security: Implements advanced measures to enhance data secrecy, ensuring confidentiality and integrity of sensitive information. - High Capacity: Manages over 500,000 facial recognition data entries, catering to diverse organizational sizes. - Secure Cloud Storage: Utilizes cloud-based systems for advanced data security, ensuring protection, accessibility, and redundancy. Primary Value and Solutions Provided: 360 FaceVision addresses the critical need for efficient and secure attendance management in organizations. By automating attendance tracking through AI-driven facial recognition, it eliminates manual errors, reduces administrative workload, and enhances overall security. The system's real-time data transmission and comprehensive reporting capabilities empower management with immediate insights, facilitating informed decision-making. Its scalability and customization options make it suitable for organizations of various sizes and structures, ensuring adaptability to specific operational needs. **Seller Details:** - **Seller:** [Axix Technologies Inc.](https://www.g2.com/sellers/axix-technologies-inc) - **Year Founded:** 2019 - **HQ Location:** Lahore, PK - **LinkedIn® Page:** https://www.linkedin.com/company/99863575/ (19 employees on LinkedIn®) ### 21. [36ZERO Vision](https://www.g2.com/products/36zero-vision/reviews) 36ZERO Vision is an AI-powered, software-defined visual quality inspection solution designed to revolutionize manufacturing quality control. By leveraging advanced artificial intelligence and deep learning algorithms, it enables manufacturers to detect defects, anomalies, and missing parts with unparalleled accuracy and efficiency. The platform is hardware-agnostic and requires no coding expertise, making it accessible and easy to implement across various industries and production setups. Key Features and Functionality: - No-Code, Self-Service Platform: Users can set up and train the AI without any programming skills, facilitating quick deployment and ease of use. - Hardware-Agnostic Integration: Compatible with existing camera hardware, including smartphones and industrial cameras, allowing seamless integration into both new and existing production lines. - Deep Learning-Based Error Detection: Utilizes advanced algorithms to identify defects, anomalies, and missing components at a pixel level, ensuring high precision in quality inspections. - Efficient Training with Minimal Data: Achieves high accuracy with as few as five annotated images, significantly reducing the time and resources required for model training. - Continuous Improvement: The system learns and adapts over time through human feedback, enhancing its performance and reliability in dynamic manufacturing environments. Primary Value and Problem Solved: 36ZERO Vision addresses the challenges of traditional quality control methods, which often rely on manual inspections or rigid, hardware-dependent systems prone to errors and inefficiencies. By providing a flexible, AI-driven solution, it enables manufacturers to: - Reduce Errors and Recalls: Minimize the number of defective products leaving the factory, thereby decreasing recall rates and associated costs. - Enhance Productivity: Automate the quality inspection process, allowing human resources to focus on more strategic tasks and improving overall operational efficiency. - Adapt to Changing Conditions: Quickly adjust to new products or production changes without the need for extensive reconfiguration or additional hardware investments. By integrating 36ZERO Vision, manufacturers can achieve higher quality standards, reduce operational costs, and maintain a competitive edge in the rapidly evolving industrial landscape. **Seller Details:** - **Seller:** [36ZERO Vision](https://www.g2.com/sellers/36zero-vision) - **Year Founded:** 2021 - **HQ Location:** Munich, DE - **LinkedIn® Page:** https://www.linkedin.com/company/36zero-vision (16 employees on LinkedIn®) ### 22. [3VR](https://www.g2.com/products/3vr/reviews) 3VR is a video technology and data company that solves the challenges associated with video searchability, allowing customers to rapidly gather real-time intelligence from the unstructured video data that is produced by a single camera or a global network of cameras. **Seller Details:** - **Seller:** [Identiv](https://www.g2.com/sellers/identiv) - **Year Founded:** 2007 - **HQ Location:** Santa Ana, California, United States - **Twitter:** @IdentivInc (6,297 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/identiv-iot/ (78 employees on LinkedIn®) - **Ownership:** NASDAQ:INVE ### 23. [5C Network](https://www.g2.com/products/5c-network/reviews) 5C Network is an AI-native radiology platform that integrates advanced artificial intelligence with human expertise to deliver rapid and consistent diagnostic imaging services. By managing the entire radiology workflow—from image ingestion and AI-powered detection to structured reporting and quality supervision—5C Network enhances diagnostic accuracy and efficiency. Serving over 1,500 healthcare facilities and processing more than 10,000 scans daily, the platform boasts an average turnaround time of 30 minutes, significantly reducing the industry standard of 24-48 hours. With a team of over 400 expert radiologists and AI trained on over 3 billion medical images, 5C Network ensures high-quality, timely, and accessible radiology services. Key Features and Functionality: - End-to-End Radiology Workflow: Manages the complete diagnostic process, including image ingestion, triage, reporting, quality control, and continuous improvement. - AI-Assisted Diagnosis: Utilizes AI to analyze various imaging modalities such as CT, MRI, X-ray, Mammography, and PET-CT, detecting and measuring 234 different pathologies with a 0.93 F1 score. - Rapid Turnaround: Delivers diagnostic reports with an average turnaround time of 30 minutes, enhancing patient care and operational efficiency. - Human-in-the-Loop Quality Supervision: Employs eight specialized quality control agents to validate every report, ensuring accuracy and consistency. - Continuous Learning: Improves diagnostic accuracy over time through a feedback loop that incorporates real-world corrections into the AI models. Primary Value and Solutions Provided: 5C Network addresses critical challenges in radiology by reducing diagnostic turnaround times, standardizing report quality, and expanding access to specialist-level reads across various imaging modalities. By combining AI-driven analysis with expert radiologist oversight, the platform enhances diagnostic accuracy and efficiency, ultimately improving patient outcomes and supporting healthcare providers in delivering timely and reliable radiology services. **Seller Details:** - **Seller:** [5C Network](https://www.g2.com/sellers/5c-network) - **Year Founded:** 2016 - **HQ Location:** Bengaluru South, IN - **LinkedIn® Page:** https://www.linkedin.com/company/5c-network (258 employees on LinkedIn®) ### 24. [A2D](https://www.g2.com/products/a2d/reviews) A2D is an innovative solution that transforms inspection data into actionable maintenance decisions by creating high-precision 3D digital twins of structures. Leveraging advanced photogrammetry, artificial intelligence, and automated processing, A2D enables rapid detection of structural defects, allowing for preventive maintenance and significant cost savings. Key Features and Functionality: - Automated Data Collection: Utilizes various sensors, including cameras and LiDAR, for comprehensive and accurate data acquisition. - AI-Powered Defect Detection: Employs artificial intelligence to identify and geolocate structural anomalies with millimetric precision. - 3D Digital Twin Visualization: Generates detailed 3D models of structures, highlighting detected defects for easy analysis. - Rapid Processing: Delivers a complete diagnostic report within 24 hours for structures up to 10,000 m². - Real-Time Monitoring: Offers real-time anomaly detection through continuous video stream analysis. Primary Value and Solutions Provided: A2D addresses the challenges of traditional structural inspections by offering a faster, safer, and more accurate method for assessing the health of infrastructures. By enabling early detection of potential issues, A2D helps prevent costly emergency repairs, reduces operational downtime, and enhances the safety of maintenance teams. Its solutions are applicable to various structures, including bridges, tunnels, buildings, and industrial facilities, providing stakeholders with reliable data to make informed maintenance decisions. **Seller Details:** - **Seller:** [A2D](https://www.g2.com/sellers/a2d) - **Year Founded:** 2017 - **HQ Location:** La Rochelle, FR - **LinkedIn® Page:** https://www.linkedin.com/company/a2d-acquiretodecide (8 employees on LinkedIn®) ### 25. [a2z Radiology AI](https://www.g2.com/products/a2z-radiology-ai/reviews) a2z Radiology AI is a pioneering medical technology company dedicated to enhancing radiological diagnostics through advanced artificial intelligence solutions. Their flagship product, a2z-Unified-Triage, is an FDA-cleared AI system designed to simultaneously detect and prioritize seven critical conditions in abdomen-pelvis CT scans. This innovative approach streamlines radiology workflows, enabling faster identification and treatment of urgent cases. Key Features and Functionality: - Multi-Condition Detection: a2z-Unified-Triage identifies seven acute conditions in a single pass: small bowel obstruction, acute cholecystitis, acute pancreatitis, acute diverticulitis, hydronephrosis, free air, and unruptured abdominal aortic aneurysm. - Rapid Triage: The system flags suspected emergencies within minutes, elevating them to the top of radiologists' worklists to expedite patient care. - Seamless Integration: Designed for real-world radiology workflows, the AI system integrates smoothly with existing clinical imaging systems without altering original images. - High Accuracy: Clinical performance testing demonstrated sensitivity and specificity exceeding 80% for all seven targeted findings, ensuring reliable detection across diverse patient demographics and imaging parameters. Primary Value and User Benefits: a2z-Unified-Triage addresses the growing demand for efficient radiological assessments amid increasing imaging volumes. By automating the detection of multiple urgent conditions, it reduces radiologists' workload, minimizes reporting times, and enhances diagnostic confidence. This leads to quicker decision-making and improved patient outcomes, particularly in emergency settings where timely intervention is critical. The system's ability to prioritize high-risk cases ensures that patients with acute conditions receive prompt attention, ultimately saving lives and optimizing healthcare resources. **Seller Details:** - **Seller:** [a2z Radiology AI](https://www.g2.com/sellers/a2z-radiology-ai) - **Year Founded:** 2024 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/a2z-radiology-ai (9 employees on LinkedIn®) ## Parent Category [Deep Learning Software](https://www.g2.com/categories/deep-learning) ## Related Categories - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) - [Data Labeling Software](https://www.g2.com/categories/data-labeling) --- ## Buyer Guide ### What You Should Know About Image Recognition Software ### What is About Image Recognition Software? Image recognition software, also known as computer vision software, gives users the ability to input images and receive data back in the form of a label. This process, done through [machine learning (ML)](https://www.g2.com/categories/machine-learning), enables end users to gain an understanding of images which they might not be able to do with their naked eye. Since videos are fundamentally composed of a series of images, image recognition software can also be used to analyze video feeds. The possible uses for this technology are broad and varied. For example, health care professionals can use it to assess if a tumor is malignant or benign. In addition, automotive companies can use image recognition software to further the development of self-driving cars, as image recognition allows the car to “see" by providing labels for what the camera on the car captures. Another popular use case is image search, where users can take a picture of an object and receive search results as a result. Retailers can use this as an alternative to text search. Finally, facial recognition software utilizes image recognition: The algorithm takes a face as an input and produces information as an output. Key Benefits of Image Recognition Software - Empower users to gain understanding of images through labeling - Give end users an opportunity to make meaning out of image data - Create smarter applications with computer vision capabilities ### Why Use Image Recognition Software? Business applications with image recognition functionality provide end users with the tools they need to succeed. For example, if a retail company wants to build a smarter search function or a medical institution seeks to supercharge their disease detecting abilities, image recognition algorithms or software can come to the rescue. **Engaged users —** Incorporating image recognition into applications results in higher productivity for end users, since they can make meaning of the images within the application they use. **Better applications —** Users spend more time using applications when they are enhanced with image recognition capabilities, leading to enhanced productivity and better deployment of the applications. **Cut costs —** Building out a robust image recognition function can be a costly endeavor and could take a significant amount of time. While this software might require additional development work in the long run, it helps businesses save money and develop insights. ### Who Uses Image Recognition Software? Images are just pixels. As a result, with the advancement of AI techniques like deep learning, we are able to grasp the meaning behind these pixels through advanced computer vision techniques. Thanks to the aforementioned technology, image analysis and image-based insights are open to many. However, there are still specific positions that utilize this software more than others. **Software developers —** Developers that want to create the next generation of products and services can use image recognition software to build computer vision capabilities into their applications, including object recognition, facial recognition, image search, and more . **Marketers —** Image recognition solutions can provide insights into images for marketers looking to understand the impact and reach of their brand. For example, a marketing professional can use the technology to detect and track their logo across social media platforms. **Health care professionals —** As the health care industry becomes more digital and image recognition techniques gain traction in the industry, it will be easier for doctors to quickly identify and diagnose maladies to support quick, accurate clinical decision-making. **Retailers—** Image search is the new text search. As a result, smart retailers are building applications with search powered by image recognition to give end users a more powerful search experience. ### Kinds of Image Recognition Software By using image recognition software, users can better understand images—unlocking the meaning contained within them. As a result, they can make important business decisions, create better applications, and improve functionality of existing tools. **Image restoration —** Uses machine learning to improve the quality of images through techniques such as improving focus and reducing blur. **Object recognition —** Allows for the recognition of objects or object classes for either pre-specified or learned objects. **Scene reconstruction —** Given images of a scene, or a video, scene reconstruction computes a 3D model of a scene. **Motion analysis —** Processes video, or image sequences, to track objects or individuals. ### Image Recognition Software Features Image recognition software tends to have a wide range of features, including image labeling, text detection, and more. These features help end users understand their images better and unlock insights. The following features are found in many image recognition software offerings. **Image labeling —** Image recognition software allows users to identify objects in an image and can help provide labels for these detected objects. More robust solutions allow users to create custom labels, letting them tailor the labels to their particular industry or use case. By training the machine learning model on data, the software can accurately detect objects based on these inputted labels. **Text detection —** Many image recognition tools recognize text and can translate it into a machine readable format. **Facial recognition —** Takes an image of a face and provides the identity of the individual as an output. **Inappropriate content detection —** Allows images and videos to be moderated by identifying potentially inappropriate or unsafe content. Other features of image recognition software include: [APIs & SDKs](https://www.g2.com/categories/image-recognition/f/apis-sdks), [Machine Learning Libraries & Frameworks](https://www.g2.com/categories/image-recognition/f/machine-learning-libraries-frameworks), [On Device & Edge](https://www.g2.com/categories/image-recognition/f/on-device-edge), [Operations](https://www.g2.com/categories/image-recognition/f/operations), [Platform](https://www.g2.com/categories/image-recognition/f/platform), [Retail](https://www.g2.com/categories/image-recognition/f/retail), and [Security](https://www.g2.com/categories/image-recognition/f/security). ### Trends Related to Image Recognition Software With image recognition capabilities, the user has the ability to understand the images and glean insights from them. There are a few key trends driving this. **Machine learning —** Without machine learning, or the ability for computers to discover patterns in data and as a result to come up with actionable insights, image recognition would be naught. The improvement and advancement of machine learning directly correlates to the success of image recognition. **Image search —** As previously mentioned, text is not the only way users can query data and search for what they are looking for. With image search, powered by image recognition, users can snap a picture of an object, and receive actionable insights, product recommendations, and more. ### Potential Issues with Image Recognition Software **Plan for adoption —** At the start, image recognition tools may not seem valuable to all employees—end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan in place to encourage and promote user adoption. **Time to market —** As with any software implementation, it’s important to think about how long it will take to implement. It’s important to consider related software that a company might need, such as [data integration software](https://www.g2.com/categories/data-integration). **Data security —** Don’t make data security an afterthought. Companies must consider security options to ensure the correct users see the correct data. They must also have security options that allow administrators to assign verified users different levels of access to the platform. **Image manipulation —** The rise of advanced computer vision algorithms has seen an increased risk of advanced image manipulation such as deepfakes. Using techniques such as Generative Adversarial Networks, bad actors can create lifelike videos and images, that are almost indistinguishable from the real thing. ### Software and Services Related to Image Recognition Software The following solutions can be used in conjunction with the products in this category to make the most comprehensive reports possible. [**Application development software**](https://www.g2.com/categories/application-development) **—** Image recognition tools can be used alongside application development tools to create computer vision-infused solutions. Developers typically use some sort of [application development software](https://www.g2.com/categories/application-development), such as [mobile development software](https://www.g2.com/categories/mobile-development) or [rapid application development (RAD) software](https://www.g2.com/categories/rapid-application-development-rad) to incorporate these image recognition capabilities. [**Storage management software**](https://www.g2.com/categories/storage-management) **—** There are a plethora of solutions for storing, organizing, and sharing large amounts of data to be accessed and analyzed later by image recognition tools. This includes everything from [object storage software](https://www.g2.com/categories/object-storage) to industry-specific solutions like [vendor-neutral archives (VNA) software](https://www.g2.com/categories/vendor-neutral-archives-vna) for health care. [**E-commerce software**](https://www.g2.com/categories/e-commerce) **—** [E-commerce platforms](https://www.g2.com/categories/e-commerce-platforms) and businesses utilize image recognition to improve search capabilities and connect different products to one another based on how they look. For example, [product information management (PIM) tools](https://www.g2.com/categories/product-information-management-pim) are a set of processes and tools that centralize and manage an e-commerce business’s product information, can be leveraged to power computer vision algorithms. An online business looking to offer personalized content or search results to the consumer can use a combination of [e-commerce personalization software](https://www.g2.com/categories/e-commerce-personalization) with image recognition to provide that personalized touch. [**Health care software**](https://www.g2.com/categories/health-care) **—** Medical professionals can benefit from image recognition technology, leveraging it to make meaning from medical images. For example, [radiology software](https://www.g2.com/categories/radiology), which is used for managing medical imaging activities, can greatly benefit from image recognition software since it provides physicians with more powerful tools for diagnosis. In addition, [clinical documentation software](https://www.g2.com/categories/clinical-documentation) might be related, if some of the information and data shared and stored between medical professionals is image-related. [**Optical character recognition (OCR) software**](https://www.g2.com/categories/ocr) **—** OCR software, also called document capture software, is designed to scan various types of documents, process the content within those documents, and extract actionable data.