Image Recognition Technology for your mobile applications. Use recognize.im API to create your own app.
Cost / License
- Paid
- Proprietary
Platforms
- Online
Amazon Rekognition is described as 'Makes it easy to add deep learning-based image analysis to your applications. Search, verify, and organize millions of images. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces' and is an app. There are more than 10 alternatives to Amazon Rekognition for a variety of platforms, including Web-based, SaaS, Linux, Mac and Windows apps. The best Amazon Rekognition alternative is Roboflow, which is free. Other great apps like Amazon Rekognition are Hume AI, Cognitive Mill, Exadel CompreFace and Google Cloud Vision API.
Image Recognition Technology for your mobile applications. Use recognize.im API to create your own app.
DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and...




Ciliar is a super simple, blazing fast, high accuracy Object Detection API for images and videos.


No-code / low-code computer vision platform that uses machine learning techniches for object-detection, segmentation and OCR.




Face recognition SDK from FacePlugin is a fully on premise solution. It uses SOTA face recognition algorithm and 3D passive liveness detection model.



FacePlugin is the most popular Android & iPhone alternative to Amazon Rekognition.
Imagga develops image recognition technology wrapped in powerful API, to help enterprise and developers make sense of thier growing image content.
Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert.




Clarifai is the leading deep learning AI platform for computer vision, natural language processing, and automatic speech recognition. We help organizations transform unstructured images, video, and text data into structured data.
A scalable platform for face, body and situation recognition that processes images and videos, collects the event history and sends real-time notifications on detected events.






