Best Image Recognition Software - Page 6

How Many Image Recognition Software Products Does G2 Track?

Total Products under this Category: 664

Category Stats (Sep 2026)

  • Average Rating: 4.42/5 (↓0.03 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Deepdream (+5.29%) - Among all products in this category, Deepdream recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Image Recognition Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 664+ 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.

G2 Grid® for Image Recognition Software

G2 Grid® for Image Recognition Software plotting products by satisfaction and market presence

Highlighted products: Google Cloud Vision API, Roboflow, Claude, Video AI, Google Cloud AutoML Vision, Microsoft Computer Vision API, Deepdream, and Amazon Rekognition.

Underlying data: [Grid® JSON](https://www.g2.com/categories/image-recognition/grids.json?focus%5B%5D=google-cloud-vision-api&focus%5B%5D=roboflow&focus%5B%5D=claude-2025-12-11&focus%5B%5D=video-ai&focus%5B%5D=google-cloud-automl-vision&focus%5B%5D=microsoft-computer-vision-api&focus%5B%5D=deepdream&focus%5B%5D=amazon-rekognition)

CompreFace

CompreFace is a free face recognition service from Exadel that can be easily integrated into any system using simple REST API. CompreFace starts quickly with one docker command and could be used by any developer without prior machine learning skills. We use one of the most popular face recognition methods based on deep neural networks, and provide a convenient API for Face Collection training and face recognition. We also provide a convenient roles system with which you can easily control who has access to the Face Collection. Every user can create several Face Collections trained on different subsets of people. The benefits of CompreFace are: 1. Opensource code and fully on-premise (security of your data) 2. Fast start with one docker command 3. Can be set up and used without machine learning knowledge 4. CompreFace uses one of the most popular face recognition methods with high accuracy face-recognizing. The system shows sufficient accuracy even if only one example for each face is used. 5. UI panel with roles for access control

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate CompreFace?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind CompreFace?

  • Seller: Exadel inc.
  • Year Founded: 1998
  • HQ Location: Walnut Creek, California, United States
  • LinkedIn® Page: www.linkedin.com
    1,808 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of CompreFace?

Coreviz Studio

Enables teams, organizations and governments to search through and analyze large image and video datasets with Visual AI.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Coreviz Studio?

  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Coreviz Studio?

  • Seller: CoreViz
  • Year Founded: 2024
  • HQ Location: San Francisco
  • Twitter: @withcoreviz
    109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Coreviz Studio?

AI-generated summary from verified user reviews

Pros
  • Users praise the accuracy of Coreviz Studio, finding it effective for organizing and classifying various items.
  • Users love the variety of AI models in Coreviz Studio for efficient organization and classification of items.
  • Users love the comprehensive AI models in Coreviz Studio, finding it easy to organize and classify various items.
Cons
  • Users find the lack of transparent pricing on Coreviz Studio's website frustrating and inconvenient.

What Are Recent G2 Reviews of Coreviz Studio?

DeepSight

We are committed to empowering smart manufacturing with leading AI technology, machine vision and automation capabilities, solving challenging industrial quality inspection problems, and providing support for the intelligent and digital transformation and upgrading of the manufacturing industry.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate DeepSight?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind DeepSight?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of DeepSight?

EasyPicky

EasyPicky has developed an instant image recognition technology by video that accelerates, facilitates and enhances store planogram checks from any embedded system without internet connection. Stop Snapshot switch to instant video !

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate EasyPicky?

  • Object Detection: 6.7/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)
  • Custom Image Detection: 5.0/10 (Category avg: 8.5/10)
  • Bounding Boxes: 6.7/10 (Category avg: 8.3/10)

Who Is the Company Behind EasyPicky?

  • Seller: EasyPicky
  • Year Founded: 2017
  • HQ Location: Montpellier, FR
  • LinkedIn® Page: www.linkedin.com
    35 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of EasyPicky?

EfficientNet

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

How Do G2 Users Rate EfficientNet?

  • Object Detection: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind EfficientNet?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of EfficientNet?

Face Analysis API

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

How Do G2 Users Rate Face Analysis API?

  • Object Detection: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.5/10)
  • Bounding Boxes: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Face Analysis API?

  • Seller: API4AI
  • Year Founded: 2020
  • HQ Location: Scotts Valley, California
  • Twitter: @Api4Ai
    34 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Face Analysis API?

FaceX

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

How Do G2 Users Rate FaceX?

  • Object Detection: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.5/10)
  • Bounding Boxes: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind FaceX?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of FaceX?

GoSpotCheck by FORM

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

How Do G2 Users Rate GoSpotCheck by FORM?

  • Ease of Use: 9.5/10 (Category avg: 8.8/10)

Who Is the Company Behind GoSpotCheck by FORM?

  • Seller: FORM
  • Year Founded: 2011
  • HQ Location: Denver, CO
  • Twitter: @Form_com
    281 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Goods, Retail
  • Company Size: 46% Medium, 34% Large

What Do G2 Reviewers Say About GoSpotCheck by FORM?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of GoSpotCheck, finding it helpful for tracking multiple retail accounts effortlessly.
  • Users find the ease of use and detail tracking features of GoSpotCheck invaluable for efficient retail management.
  • Users value the detailed note management capabilities of GoSpotCheck, enhancing team communication and recap efficiency.
  • Users value the wide range of options available in GoSpotCheck, enhancing their tracking and reporting experience.
  • Users find GoSpotCheck's ease of use and detailed note-taking features highly beneficial for tracking retail accounts effectively.

What Are Recent G2 Reviews of GoSpotCheck by FORM?

What Are G2 Users Discussing About GoSpotCheck by FORM?

Hitachi Video Analytics

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

How Do G2 Users Rate Hitachi Video Analytics?

  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Hitachi Video Analytics?

  • Seller: Hitachi Vantara
  • HQ Location: Santa Clara, CA
  • Twitter: @HitachiVantara
    28,391 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,547 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Do G2 Reviewers Say About Hitachi Video Analytics?

AI-generated summary from verified user reviews

Pros
  • Users value the enhanced security measures provided by Hitachi Video Analytics, significantly boosting operational efficiency.
  • Users value the workflow efficiency of Hitachi Video Analytics, enhancing security and providing actionable data insights.
Cons
  • Users express concerns about the not user-friendly interface, making it difficult to navigate and utilize effectively.
  • Users express concerns about privacy issues with Hitachi Video Analytics, raising alarms about data security and surveillance.

What Are Recent G2 Reviews of Hitachi Video Analytics?

Hive Logo Model

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

How Do G2 Users Rate Hive Logo Model?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Hive Logo Model?

  • Seller: Hive.ai
  • Year Founded: 2013
  • HQ Location: San Francisco, California
  • Twitter: @hive_ai
    4,857 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    516 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Hive Logo Model?

HYPERVISE.AI

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

How Do G2 Users Rate HYPERVISE.AI?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind HYPERVISE.AI?

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About HYPERVISE.AI?

AI-generated summary from verified user reviews

Pros
  • Users admire the high accuracy of HYPERVISE.AI in detecting anomalies and ensuring safety compliance in real-time.
  • Users are impressed by the real-time video intelligence that effectively detects anomalies in processes and safety compliance.

What Are Recent G2 Reviews of HYPERVISE.AI?

Image Classifier with auto Deep Learning

This solution automatically identifies and trains the best performing deep learning model for image classification.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Image Classifier with auto Deep Learning?

  • Object Detection: 6.7/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)
  • Custom Image Detection: 6.7/10 (Category avg: 8.5/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.3/10)

Who Is the Company Behind Image Classifier with auto Deep Learning?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • Twitter: @Stelligent
    1,106 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Image Classifier with auto Deep Learning?

Image Recognition

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

How Do G2 Users Rate Image Recognition?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 5.0/10 (Category avg: 8.8/10)
  • Custom Image Detection: 6.7/10 (Category avg: 8.5/10)
  • Bounding Boxes: 10.0/10 (Category avg: 8.3/10)

Who Is the Company Behind Image Recognition?

  • Seller: Imagga
  • Year Founded: 2011
  • HQ Location: Sofia, BG
  • Twitter: @imagga
    1,325 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

Kibsi

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

How Do G2 Users Rate Kibsi?

  • Object Detection: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 6.7/10 (Category avg: 8.8/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.5/10)
  • Bounding Boxes: 6.7/10 (Category avg: 8.3/10)

Who Is the Company Behind Kibsi?

  • Seller: Kibsi
  • Year Founded: 2021
  • HQ Location: Irvine, US
  • Twitter: @TeamKibsi
    34 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large, 100% Medium

What Are Recent G2 Reviews of Kibsi?

Make and model recognition

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

How Do G2 Users Rate Make and model recognition?

  • Object Detection: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Make and model recognition?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Make and model recognition?

AI-generated summary from verified user reviews

Pros
  • Users commend the high accuracy of Eyedea's MMR, recognizing an extensive array of vehicle types and details.
  • Users appreciate the detailed object recognition of Eyedea's MMR, which identifies numerous vehicle types and brands.

What Are Recent G2 Reviews of Make and model recognition?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026