#computer-vision
11 tools

Deep Block
★ 2.0Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in...

Diffgram
★ 1.2Operating System for Visual Deep Learning.

Functionize
★ 1.8Functionize combines natural language processing, deep-learning ML models and other AI-based technologies to empower your team to build tests faster that don’t break and run at scale in the cloud.

KopiKat
★ 2.1No-code tool for generative image data augmentation helping to improve the accuracy of an AI model without changing the network architecture.

Lightly
★ 1.5Lightly helps machine learning teams to build better models through better data. It helps to curate unlabelled data to improve its quality for model training.

Luxand.Cloud
★ 1.4Accurate and fast facial recognition/verification API.

Oslovision
★ 2.4Image annotation tool for modern computer vision. Easy to use, great for teams of all sizes. Hooks into training pipelines, designed around the latest State of the Art computer vision models.

Roboflow
★ 2.9With 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.

Skyvern
★ 2.4Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions.

SuperAnnotate
★ 2.3The SuperAnnotate platform enables you to build, fine-tune, iterate, and manage your AI models faster, with the highest-quality training data.

Ximilar
★ 1.9Ximilar is a Computer Vision platform that allows you to build and train Deep Learning models for Image Recognition, Detection, and Visual Search. Allows you to download a model for offline usage or connect to them via API.