⭐️ The State of Computer Vision at Hugging Face 🤗 Over 3000 models, and over 100 datasets on the Hugging Face Hub. Более 3000 моделей компьютерного зрения и более 100 датасетов на Hugging Face Hub. 💨 Topics: Supported vision tasks and Pipelines Training your own vision models Integration with timm Diffusers Support for third-party libraries Datasets ⏩ Code: HugsVision Model documentation Hugging Face notebooks Hugging Face example scripts Task pages Timm ➡️ Computer Vision applications: Generate 3D voxels from a predicted depth map of an input image Open vocabulary semantic segmentation Narrate videos by generating captions Classify videos from YouTube Zero-shot video classification Visual question-answering Use zero-shot image classification to find best captions for an image to generate similar images 🤗 AutoTrain AutoTrain Image classification Automatic model evaluation 🦾 Zero-shot models CLIP OWL-ViT CLIPSeg GroupViT X-CLIP 🚀 Deployment Deploying TensorFlow Vision Models in Hugging Face with TF Serving Deploying ViT on Kubernetes with TF Serving Deploying ViT on Vertex AI Deploying ViT with TFX and Vertex AI ✅️ Full list @ai_machinelearning_big_data