object-detection

Deep Learning Server and CLI for Torch and TensorRT

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

YoloV3 Implemented in Tensorflow 2.0

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

Lightweight nudity detection

YOLO ROS: Real-Time Object Detection for ROS

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

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

An extension of Open3D to address 3D Machine Learning tasks

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

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

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

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

NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

Scaled-YOLOv4: Scaling Cross Stage Partial Network

[DEIMv2] Real Time Object Detection Meets DINOv3

An all-in-one toolkit for computer vision

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

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.

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

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.

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

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

Declarative way to run AI models in React Native on device, powered by ExecuTorch.

Implementation of "YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception".

Tracking and collecting papers/projects/others related to Segment Anything.

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.