Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Ultralytics YOLO11 🚀
We write your reusable computer vision tools. 💜
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Image-to-Image Translation in PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Datasets, Transforms and Models specific to Computer Vision
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Face recognition using Tensorflow
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A MNIST-like fashion product database. Benchmark 👇
3D Reconstruction Software
Low-code framework for building custom LLMs, neural networks, and other AI models
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
An open source implementation of CLIP.
Geometric Computer Vision Library for Spatial AI
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A collaboration friendly studio for NeRFs