Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

[NeurIPS 2025] YOLOv12: Attention-Centric Real-Time Object Detectors

Lightweight Python library for adding real-time multi-object tracking to any detector.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Real-Time Object Recognition App with Tensorflow and OpenCV

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

Train a state-of-the-art yolov3 object detector from scratch!

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

A minimalistic framework for real-time object detection (with a pre-trained face detector)

(CVPR 2025 highlight✨) Official repository of paper "LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models"

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

an edge-real-time anchor-free object detector with decent performance

[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

Official code of the paper "ReDet: A Rotation-Equivariant Detector for Aerial Object Detection" (CVPR 2021)

Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

detector for rotated-object based on CenterNet/基于CenterNet的旋转目标检测

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.

FoveaBox: Beyond Anchor-based Object Detector