object-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

YOLO ROS: Real-Time Object Detection for ROS

Turn any computer or edge device into a command center for your computer vision projects.

Deep Learning toolkit for Computer Vision.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

ECCV 2026 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2026论文和开源项目

An open source library and framework for deep learning on satellite and aerial imagery.

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Scaled-YOLOv4: Scaling Cross Stage Partial Network

An all-in-one toolkit for computer vision

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

A Keras port of Single Shot MultiBox Detector

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

Deep Hough Voting for 3D Object Detection in Point Clouds

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains