There are 171 repositories under object-detection topic.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
OpenMMLab Detection Toolbox and Benchmark
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
A paper list of object detection using deep learning.
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
deep learning for image processing including classification and object-detection etc.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Best Practices, code samples, and documentation for Computer Vision.
CVPR 2022 论文和开源项目合集
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Gluon CV Toolkit
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
A PyTorch Implementation of Single Shot MultiBox Detector
NVR with realtime local object detection for IP cameras
Caffe: a fast open framework for deep learning.
AutoGluon: AutoML for Image, Text, and Tabular Data
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Most popular metrics used to evaluate object detection algorithms.
Single Shot MultiBox Detector in TensorFlow
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
Tensorflow Faster RCNN for Object Detection
A simplified implemention of Faster R-CNN that replicate performance from origin paper
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
A PyTorch implementation of the YOLO v3 object detection algorithm