6527 Open source projects that are alternatives of or similar to Robust Detection Benchmark

This repository contains the source code of our work on designing efficient CNNs for computer vision

How to create custom COCO data set for object detection

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Caffe implementation of our multi-scale object detection framework

Most popular metrics used to evaluate object detection algorithms.

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

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Real-time object detection on Android using the YOLO network with TensorFlow

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 BERT.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Object Detection

无人驾驶相关论文速递

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Expose tensorflow-lite models via a rest API

Port of Single Shot MultiBox Detector to Keras

PSPNet in Chainer

Fish detection using Open Images Dataset and Tensorflow Object Detection

FCOS: Fully Convolutional One-Stage Object Detection.

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Google Brain AutoML

Convert between visual object detection datasets

Feature Pyramid Networks for Object Detection

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Detectorch - detectron for PyTorch

Single Shot MultiBox Detector in TensorFlow

Label images and video for Computer Vision applications

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Data Augmentation For Object Detection

The ApolloScape Open Dataset for Autonomous Driving and its Application.

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

🙄 Difficult algorithm, Simple code.

How to run Object Detection and Segmentation on a Video Fast for Free

How to train an object detection model with mmdetection

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Python and OpenCV based object tracking software

Ros package for basic autonomous lane tracking and object detection

capsule networks that achieves outstanding performance on the German traffic sign dataset

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

Keras Object Detection API with YOLK project 🍳

YOLOv2 trained against custom dataset

Some experiments with object detection in PyTorch

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Siamese Mask R-CNN model for one-shot instance segmentation

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?