Best Image Recognition Software - Page 4

How Many Image Recognition Software Products Does G2 Track?

Total Products under this Category: 693

Category Stats (Oct 2026)

  • Average Rating: 4.47/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Tractable (+1.45%) - Among all products in this category, Tractable recorded the largest rating increase compared to last month

Last updated: October 29, 2026

How Does G2 Rank Image Recognition Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,500+ Authentic Reviews
  • 693+ 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: Claude, Video AI, Google Cloud Vision API, Roboflow, Google Cloud AutoML Vision, Tractable, Microsoft Computer Vision API, and Deepdream.

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

Anyline

Anyline makes data capture simple, giving you the power to read, interpret and process visual information on mobile devices, websites and embedded cameras. With a large focus on the automotive and automotive service industries, our latest data capture technology is quickly becoming a must have for operators everywhere. Whether scanning critical DOT or Tire Size figures from customer tires, or even measuring their tread depth from a mobile phone camera, our scanning technology is like nothing you've seen before. From our home-base in Vienna, Austria and US headquarters in Boston, our growing and dynamic team is changing the way companies collect and manage data.

Average Rating: 4.7/5.0

Total Reviews: 5

How Do G2 Users Rate Anyline?

  • Ease of Use: 9.2/10 (Category avg: 8.9/10)

Who Is the Company Behind Anyline?

  • Seller: Anyline
  • Year Founded: 2013
  • HQ Location: Vienna, AT
  • Twitter: @anyline
    1,104 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    247 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Medium, 40% Small

What Are Recent G2 Reviews of Anyline?

What Are G2 Users Discussing About Anyline?

LTU Engine

LTU Engine offers cutting-edge pixel based image functionalities to search and make sense of visuals.

Average Rating: 4.3/5.0

Total Reviews: 4

How Do G2 Users Rate LTU Engine?

  • Object Detection: 5.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Custom Image Detection: 6.7/10 (Category avg: 8.6/10)
  • Bounding Boxes: 5.0/10 (Category avg: 8.4/10)

Who Is the Company Behind LTU Engine?

  • Seller: Ltutech
  • Year Founded: 2018
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    47 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Do G2 Reviewers Say About LTU Engine?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the rich features of LTU Engine for effective image analysis and logo identification.
  • Users appreciate the robust image segmentation features of LTU Engine, enabling effective analysis and logo identification.
  • Users find the ease of setup for LTU Engine enhances their image editing experience significantly.
  • Users find the easy integrations of LTU Engine beneficial, enhancing image editing and clarity seamlessly.
Cons
  • Users find the poor UI design of LTU Engine complicates usage and detracts from overall engagement.
  • Users find the complexity of the interface makes the LTU Engine challenging to navigate effectively.
  • Users experience lack of resources with LTU Engine, often facing slow customer support and limited feature options.
  • Users express frustrations with LTU Engine's limited functionality, noting customer support is not quick to assist.

What Are Recent G2 Reviews of LTU Engine?

Saraswati AI

AI answer sheet checking software for Indian schools and coaching institutes. Grade handwritten papers from a phone. Hindi and English, CBSE and State Boards.

Average Rating: 4.8/5.0

Total Reviews: 4

Who Is the Company Behind Saraswati AI?

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Are Recent G2 Reviews of Saraswati AI?

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WiZR

WiZR is disrupting the video surveillance and analytics market utilizing industry-leading AI and IoT integration in a highly innovative and scalable platform.

Average Rating: 4.5/5.0

Total Reviews: 4

How Do G2 Users Rate WiZR?

  • Object Detection: 7.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.2/10 (Category avg: 8.9/10)
  • Custom Image Detection: 7.5/10 (Category avg: 8.6/10)
  • Bounding Boxes: 7.5/10 (Category avg: 8.4/10)

Who Is the Company Behind WiZR?

  • Seller: WiZR
  • Year Founded: 2015
  • HQ Location: Santa Monica, US
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About WiZR?

AI-generated summary from verified user reviews

Pros
  • Users commend the excellent customer support of WiZR, which effectively addresses their needs and requirements.
  • Users value the wide range of features in WiZR, designed to enhance customer experience and meet requirements.
  • Users find WiZR to be easy to use, making customer support handling a breeze.
  • Users appreciate the user-friendly interface of WiZR, making it easy to access a wide range of features.
Cons
  • Users report navigation issues with WiZR, as the back button exits the app instead of returning to the previous page.

What Are Recent G2 Reviews of WiZR?

brick'em

brick'em is a bulk LEGO minifigure and parts scanning tool built for resellers. It uses image recognition to identify LEGO minifigures from photos, pulls real-time BrickLink pricing data, and exports formatted inventory to selling platforms including Whatnot, eBay, BrickLink, Brick Owl, Facebook Marketplace, and Shopify. brick'em is built for LEGO resellers who run the majority of their business online. Scan, price, and list an entire bulk lot in minutes instead of hours. Scanning & Identification: Scan 20+ LEGO minifigures from a single photo using AI-powered detection. brick'em also supports parts scanning with color detection across 200+ BrickLink color variants. Every scan returns current BrickLink pricing data (used and new averages, min/max ranges) pulled from actual completed sales. Inventory Management: Organize scanned items into multiple inventories, track quantities and condition (new/used), set custom pricing overrides, and monitor your total collection value. Import existing inventory from BrickLink, BrickStore, Rebrickable, or any CSV file. Portfolio analytics show total value, condition breakdown, top 10 most valuable items, and per-inventory stats. Multi-Platform Export: Export formatted listings to 8 platforms: Whatnot (auction or buy-it-now), eBay (draft listings with condition and format selection), BrickLink (store inventory XML), Brick Owl (XML), Shopify (full product import with Google Shopping metadata), Facebook Marketplace, Google Sheets, and generic CSV. Buildable Figures Tracker: Track which minifigures you can assemble from parts already in your inventory, with per-figure completion percentages and a visual breakdown of parts needed vs. parts owned. Chrome Extension: Browse eBay, Whatnot, or any marketplace and instantly see BrickLink minifigure values without switching tabs. Community: Join discussions, post polls, share ideas, and submit bug reports. Built-in referral program with tiered rewards. CMF Blind Bag Scanner: Scan Data Matrix codes on LEGO Collectible Minifigure boxes to reveal which figure is inside before opening. (supports Series 25–28, Dungeons & Dragons, F1, Spider-Verse) Lot Calculator: Paste up to 200 BrickLink IDs to instantly value a bulk lot before buying. brick'em includes a searchable database of 18,000+ LEGO minifigures with pricing history, a collection value calculator, and a Chrome extension for BrickLink.

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate brick'em?

  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.9/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind brick'em?

  • Seller: brick'em
  • Year Founded: 2026
  • HQ Location: Ann Arbor, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of brick'em?

Chooch

Chooch makes cameras intelligent. The Chooch AI Vision platform combines the power of Generative AI and Computer Vision technology to help businesses gain real-time actionable insights from their video and visual data. Chooch's AI technology instantly detects specific visuals, objects, and actions in videos and images, including critical anomalies and instantly comprehends their significance, sending real-time alerts to business systems to initiate further action. It does this in a fraction of the time a human being could. Businesses use Chooch to automate repetitive, manual video review tasks, making searching video data more efficient and allowing businesses to reallocate human resources to higher value activities. Chooch is being used across many different applications including detecting retail theft, monitoring workplace safety, detecting weapons, monitoring self-check out, digital asset management, and more.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate Chooch?

  • Object Detection: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.9/10)
  • Custom Image Detection: 7.2/10 (Category avg: 8.6/10)
  • Bounding Boxes: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind Chooch?

  • Seller: Chooch
  • Year Founded: 2015
  • HQ Location: San Mateo, California, United States
  • Twitter: @Chooch_AI
    1,714 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Chooch?

CVEDIA

CVEDIA is a leader in AI‑powered video analytics and computer vision solutions that turn raw video into actionable intelligence for security, operations, and analytics applications. Unlike many vendors that rely on off‑the‑shelf models, CVEDIA controls the full AI pipeline, from synthetic data generation and model training to deployment and continuous improvement, enabling high accuracy and robust performance even in real‑world conditions where traditional approaches often fail. At the core of CVEDIA’s technology is CVEDIA‑RT, a modular, cross‑platform AI inference engine designed for production deployment across edge devices, servers, and cloud environments. It supports a wide range of use cases including intrusion and perimeter security, object counting, crowd estimation, anomaly detection, traffic flow analysis, and more, with low false positives and real‑time responsiveness that organizations rely on. One of the key differentiators for CVEDIA is its use of proprietary synthetic data, which eliminates the traditional bottleneck of collecting and labeling real‑world datasets. Synthetic data allows the company to generate edge‑case scenarios that are difficult or impossible to capture in reality, resulting in AI models that generalize better, deploy faster, and adapt more reliably across environments. CVEDIA’s technology is hardware‑agnostic and scalable, optimized for everything from low‑power edge devices to enterprise GPU and VPU platforms. Native integrations include plugins for leading video management systems such as Milestone XProtect and Nx Witness, allowing organizations to augment their existing surveillance infrastructure with advanced analytics without requiring costly hardware upgrades. In addition to software solutions, CVEDIA offers turnkey appliances like the CVEDIA AI HUB‑8, a pre‑configured smart camera hub that combines VMS and AI analytics in one box. This appliance supports real‑time detection and alerting for people, vehicles, and other objects with no cloud dependency and no subscription fees, making it ideal for small‑to‑medium deployments where simplicity and cost efficiency matter. The company’s solutions are deployed across a broad spectrum of industries, including physical security, smart cities, transportation, defense, and enterprise environments. CVEDIA’s performance‑proven analytics are especially valued where reliability and accuracy are critical, such as in perimeter breach detection or large‑scale monitoring operations. CVEDIA’s commitment to integration and performance has also led to strategic partnerships with industry leaders in AI hardware and edge computing. Collaborations with companies like Blaize and DeepX have extended the reach of CVEDIA’s analytics to optimized inference platforms, making advanced video intelligence more accessible and cost‑effective at the edge. Beyond technology, customers appreciate CVEDIA’s deployment simplicity and flexibility. Solutions often install and configure in minutes rather than months, and analytics can run on existing camera infrastructure, significantly reducing total cost of ownership. Licensing options are designed to be customer‑friendly, with both subscription and perpetual models available to suit different deployment strategies. Headquartered in Singapore, with a global presence and partnerships spanning hardware OEMs, systems integrators, and AI platform vendors, CVEDIA continues to push the frontier of video analytics, delivering real‑time intelligence that enhances security, drives operational insights, and unlocks new value from visual data.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate CVEDIA?

  • Object Detection: 7.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.9/10 (Category avg: 8.9/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.6/10)
  • Bounding Boxes: 8.9/10 (Category avg: 8.4/10)

Who Is the Company Behind CVEDIA?

  • Seller: CVEDIA
  • Year Founded: 2016
  • HQ Location: Singapore, SG
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About CVEDIA?

AI-generated summary from verified user reviews

Pros
  • Users find CVEDIA's AI technology invaluable for quickly developing effective computer vision algorithms with limited real-world data.
Cons
  • Users find the lack of customization in CVEDIA limiting, restricting ability to tailor algorithms to specific needs.
  • Users find the limited customization in CVEDIA restricts their ability to tailor algorithms effectively for their needs.

What Are Recent G2 Reviews of CVEDIA?

Dlib Image Processing

Image Processing is a tool that deals with array2d objects that contain various kinds of pixels or user defined generic image objects.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate Dlib Image Processing?

  • Object Detection: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 7.8/10 (Category avg: 8.9/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.6/10)
  • Bounding Boxes: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind Dlib Image Processing?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Dlib Image Processing?

What Are G2 Users Discussing About Dlib Image Processing?

ENVI Deep Learning

Automate Analytics With Deep Learning For Faster, More Accurate Results The ENVI® Deep Learning module (formerly MEGA) removes the barriers to performing deep learning with geospatial data and is currently being used to solve problems in defense, disaster response, urban development, transportation and other industries.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate ENVI Deep Learning?

  • Ease of Use: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind ENVI Deep Learning?

  • Seller: NV5 Global
  • Year Founded: 1947
  • HQ Location: Hollywood, Florida, United States
  • Twitter: @NV5_inc
    1,003 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,325 employees on LinkedIn®
  • Ownership: NASDAQ: NVEE

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of ENVI Deep Learning?

What Are G2 Users Discussing About ENVI Deep Learning?

Nilearn

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data that leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

Average Rating: 4.2/5.0

Total Reviews: 3

How Do G2 Users Rate Nilearn?

  • Ease of Use: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Nilearn?

Who Uses This Product?

  • Company Size: 67% Large, 33% Small

What Are Recent G2 Reviews of Nilearn?

SentiSight.ai

SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation task as convenient and efficient as possible, even for large projects with many people working on image labeling, and the second is to provide a smooth and user-friendly interface for training and deploying deep neural network models. The ability to perform both of these tasks on the same platform provides the advantage of being able to label images and then train and improve models in an iterative way. SentiSight.ai offers powerful features, such as: Image labeling. Our labeling tool allows adding classification labels, bounding boxes, polygons, points, polylines, and bitmaps. Bitmaps can be easily converted to polygons and vice versa. Moreover, each labeled object can have several child objects, such as key-points or attributes. The labeled images can be directly used for model training on the SentiSight.ai platform, or they can be downloaded and used for in-house model training. Smart labeling tool. This tool can be used to significantly increase the speed of bitmap labeling. The smart labeling tool allows users to select a few points in the foreground and the background and let the AI extract the labeled object. Shared labeling projects and time tracking. To make large annotation project handling easier, SentiSight.ai allows a project to be shared among multiple users so that multiple people can label images in the same project. The project manager can quickly filter and review the images labeled by a particular project member, track each person’s progress and time spent on labeling, as well as manage user roles and permissions. Classification model training. This type of model can be used to identify certain objects in an image, such as a cat or a dog, but without specifying their location. They can also be trained to identify more abstract concepts, such as “summer” or “winter”. Object detection model training. This type of model can be used not to only identify a certain object, but also to predict its exact location in an image. For each object predicted to be inside the image, the model also predicts a rectangular bounding box that denotes the object’s location. This is very useful when you need to know not only what is inside the image, but also the relative location and number of objects. Online and offline models (free 30-day trial available). SentiSight.ai offers a possibility to use your deep learning models both online and offline. Online models can be used via REST API or web interface. Both of these options require internet connection. Another option is to download and use the image recognition model offline. An offline model can be downloaded as a free 30-day trial after which the user has an option to buy a license. The price of the license depends on the speed of the model, and it is a single time payment. Pre-trained models. In addition to the possibility of training image recognition models yourself, SentiSight.ai also provides several pre-trained models that can be used out-of-the-box without any additional training. These pre-trained models can be used for several tasks, such as content moderation, goods classification, automatic hashtags, people counting and more. Image Similarity search. This is another ready-to-use feature that allows users to upload an image and find all similar images to this query in their data set. It also allows users to perform NvN similarity searches in their data set where all similar image pairs are retrieved.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate SentiSight.ai?

  • Object Detection: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.6/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind SentiSight.ai?

  • Seller: NeuroTechnology
  • Year Founded: 1990
  • HQ Location: Vilnius, LT
  • Twitter: @StockGeist
    273 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small

What Are Recent G2 Reviews of SentiSight.ai?

Vize.ai - Custom Image Classification

Vize.ai AI is custom image recognition and classification API, designed to allow developers and businesses to analyze image data.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate Vize.ai - Custom Image Classification?

  • Object Detection: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.9/10)
  • Custom Image Detection: 8.3/10 (Category avg: 8.6/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Vize.ai - Custom Image Classification?

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Do G2 Reviewers Say About Vize.ai - Custom Image Classification?

AI-generated summary from verified user reviews

Pros
  • Users value the powerful AI technology that simplifies image upload and model training for custom classification.
  • Users value the annotation efficiency of Vize.ai, enabling quick image uploads and effective model training.
  • Users appreciate the ease of uploading and labeling images, making it simple to train models effectively.

What Are Recent G2 Reviews of Vize.ai - Custom Image Classification?

AegisVision

Most operations still react to problems after they happen. A defect is found at the end of the line. A safety violation is reviewed on the incident report. A compliance gap shows up in the audit. By then, the cost is already paid — in rework, in risk, in lost time. AegisVision changes that. It is a Vision AI platform that connects to existing camera infrastructure — no rip-and-replace, no new hardware investment — and begins detecting anomalies, defects, safety violations, and process deviations in real time from day one. The Transformation Journey AegisVision moves organisations through three stages: • Stage 1 — Reactive: Where most operations are today. Alerts come after the fact. Patterns go unnoticed. Human inspection is capped at ~80% accuracy under ideal conditions — lower during night shifts. • Stage 2 — Predictive (3–6 months): Patterns emerge across shifts, sites, and scenarios. Detection accuracy reaches 98%+. Dashboards replace end-of-shift reports. Teams stop chasing fires and start seeing them coming. • Stage 3 — Preventive (9–18 months): Automated workflow responses trigger before human intervention is needed. Quality runs 24/7 with zero fatigue. Compliance is enforced by default. The system self-tunes continuously and gets smarter the longer it runs. Platform Capabilities • Hardware-agnostic: Works with any existing RTSP/IP camera or ONVIF-compatible device. No vendor lock-in. • Model-agnostic: Pre-built models included free. Bring your own models or build new ones. Fine-tune as requirements evolve. • Three deployment models: On-Premises (full data control), Cloud (scalable, minimal IT overhead), and Hybrid (sub-1s edge inference + cloud analytics). 100% data compliance in all three. • Closed-loop workflow: Every detection triggers Incident → Assign → Escalate → Close. Evidence packs and audit trails generated automatically. • Integrations: PLC, MES, ERP, QMS, and existing automation workflows via open API. Industries Served Manufacturing · FMCG / Food Processing · Retail · Pharma & Regulated Packaging · Construction · Ports & Logistics · Healthcare · Energy / Utilities · Railways · Telecom / Fiber Deployment · Security & Surveillance Vision AI ROI Benchmarks • Up to 40% defect reduction (industry case studies, 2024) • AI catches 37% more defects than human inspectors (controlled study, 2024) • 99.8% surface defect accuracy (American Society for Quality, 2024) • 50–90% reduction in inspection time • ROI payback typically within 6–12 months of deployment AegisVision is completely made in India — staying with customers through implementation, model tuning, and continuous improvement. Not a point solution. An end-to-end partnership.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate AegisVision?

  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind AegisVision?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of AegisVision?

AForge.NET

AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

Average Rating: 3.8/5.0

Total Reviews: 2

How Do G2 Users Rate AForge.NET?

  • Ease of Use: 6.7/10 (Category avg: 8.9/10)

Who Is the Company Behind AForge.NET?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of AForge.NET?

What Are G2 Users Discussing About AForge.NET?

AscenderAI

Ascender AI LLC was founded in 2019 by a visionary research scientist and two well established AI entrepreneurs.  Braddock Gaskill, the CEO, has over 25 years of experience in AI and machine learning. Co-founders Mudar Yaghi and Mohammad Shihadah have spent the past 30 years bringing a family of pioneering AI-driven companies to life.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate AscenderAI?

  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 10.0/10 (Category avg: 8.9/10)
  • Custom Image Detection: 10.0/10 (Category avg: 8.6/10)
  • Bounding Boxes: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind AscenderAI?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of AscenderAI?

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