Computer Vision

🐍 Geometric Computer Vision Library for Spatial AI

A collaboration friendly studio for NeRFs

Low-code framework for building custom LLMs, neural networks, and other AI models

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Visualize, query, and stream to train on multimodal robotics data.

A paper list of object detection using deep learning.

Refine high-quality datasets and visual AI models

Point Cloud Library (PCL)

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

一款入门级的人脸、视频、文字检测以及识别的项目.

RobotGo, Go Native cross-platform RPA, GUI automation, Auto test and Computer use @vcaesar

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Content aware image resize library

Fast and Accurate ML in 3 Lines of Code

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Image-to-image translation with conditional adversarial nets

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

openFrameworks is a community-developed cross platform toolkit for creative coding in C++.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Techniques for deep learning with satellite & aerial imagery

Repository for OpenCV's extra modules

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

Best Practices, code samples, and documentation for Computer Vision.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

RealSense SDK

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Lab Materials for MIT 6.S191: Introduction to Deep Learning

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Leading free and open-source face recognition system

ASCII generator (image to text, image to image, video to video)

Java interface to OpenCV, FFmpeg, and more

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

a cross-platform image super-resolution tool

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Real-Time High-Resolution Background Matting

Reading list for research topics in multimodal machine learning

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.