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LandingLens is a MLOps cloud platform that streamline the training and deployment of machine learning computer vision models to production. In the platform, you can upload and label images, train a model in few seconds with just a couple of clicks, check model performance direcly in the browser and deploy it to a cloud endpoint that can be integrated with any software. It also includes an open source Python SDK to facilitate the image acquisition process (from image files, videos, webcam, network camera, screenshot, etc), pre-processing of those images and inference execution.
With a few images, you can deploy a computer vision model in an afternoon. Roboflow empowers developers to build their own computer vision applications, no matter their skillset or experience. We streamline the process between labeling your data and training your model.
Amazon Rekognition 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.
No-code tool for generative image data augmentation helping to improve the accuracy of an AI model without changing the network architecture.