Top Rated Image Recognition Alternatives
(59)
4.3 out of 5
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ASHUTOSH J.
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Information Services
Small-Business(50 or fewer emp.)
What do you like best about Image Recognition?
The ease of using its API to integrate in my code to be used further fot image tagging and facial recognition and similar compuer vision stuffs. Review collected by and hosted on G2.com.
What do you dislike about Image Recognition?
the website and dashboard it provides the user, its horryfying . It needs a lot of imporvement Review collected by and hosted on G2.com.
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There are not enough reviews of Image Recognition for G2 to provide buying insight. Below are some alternatives with more reviews:
1
TextIn
4.6
(221)
TextIn offers 6 powerful AI tools designed to tackle your everyday needs. · General Content Recognition: Extract text from documents, images, even PDFs · ID & Certificate Recognition: Simplify verification with instant data capture · Invoice & Receipt Recognition: Effortlessly organize expenses with automatic data entry · Image Detection: Detect forgery and deepfake in images with enhanced efficiency · Image Processing: Enhance and manipulate your images like a pro · File Converter: Seamlessly convert between popular file formats We can also provide seamless integration with your existing workflow. TextIn supports: · SDK/API Integration: Embed our capabilities directly into your App or solution · On-Premise Deployment: For maximum data security, keep everything in-house
2
Google Cloud Vision API
4.4
(88)
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. Leveraging our API, developers can quickly build applications able to classify images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detect individual objects and faces within images, build metadata on image catalog, moderate offensive content, enable new marketing scenarios through image sentiment analysis, and more.
3
Dataloop
4.4
(90)
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
4
Syte
4.6
(76)
Discover how our solutions help retailers increase customer engagement and boost conversion rates and sales.
5
GoSpotCheck by FORM
4.7
(69)
GoSpotCheck by FORM's end-to-end platform is made up of 3 parts: an admin dashboard for task building and distribution for project/program managers, a mobile app for task completion for frontline teams, and reporting dashboards to improve visibility and decision making for leaders. GoSpotCheck by FORM's advanced features include PhotoWorks photo reporting, Insights business intelligence reporting powered by Looker, integrated image recognition and machine learning for merchandising audits, an open API, and a variety of integrations including a Salesforce sync package.
6
Clarifai
4.3
(59)
The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.
7
Encord
4.8
(60)
Machine learning and data operations teams of all sizes use Encord's collaborative applications, automation features, and APIs to annotate, manage, and evaluate their datasets for computer vision.
8
V7
4.8
(53)
Automated Image Annotation and Neural Network training.
V7 is the most powerful platform to automatically create ground truth to enable AIs to learn. Trusted by the likes of Merck, GE Healthcare, and Stanford, our technology speeds up the creation of visual data labels by 10x.
9
Vue.ai
4.6
(51)
1. Automated catalog management
2. Automated image moderation (for marketplaces)
3. Automated on-model imagery
4. AI-enabled styling and outfitting
5. AI-enabled dynamic 1:1 personalization
6. Personalized shopper journeys
10
OpenCV
4.5
(39)
OpenCV is a tool that has has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android for computational efficiency and with a strong focus on real-time applications, written in optimized C/C++, the library can take advantage of multi-core processing and enabled to take advantage of the hardware acceleration of the underlying heterogeneous compute platform
