Awesome-Object-Detection

object detection records

API

imgaug This python library helps you with augmenting images for your machine learning projects
Augmentor Augmentor is an image augmentation library in Python for machine learning.
Image Augmentor A simple data augmentation tool for image files, intended for use with machine learning data sets.
Image Augmentation Generating additional data for unbalanced classes by jittering the original image.
Data Augmentation Base class for applying common real-time data augmentation

Hash C++ Perception hash
Image-deduplication-tool Python simple tool to detect (and get rid of) similar images using perceptual hashing
Imgdup Visual similarity image finder and cleaner (image deduplication tool).

Yolov1 You Only Look Once: Unified, Real-Time Object Detection darknet caffe
Yolov2 YOLO9000:Better, Faster, Stronger tensorflow pytorch caffe
Yolov3 YOLOv3: An Incremental Improvement pytorch keras
Yolov4 YOLOv4: Optimal Speed and Accuracy of Object Detection pytorch tensorflow
Yolov5 pytorch
SSD SSD: Single Shot MultiBox Detector caffe tensorflow
DSSD DSSD : Deconvolutional Single Shot Detector caffe
RFB-SSD Receptive Field Block Net for Accurate and Fast Object Detection pytorch
DES Single-Shot Object Detection with Enriched Semantics
STDN Scale-Transferrable Object Detection pytorch
RetinaNet Focal Loss for Dense Object Detection caffe tensorflow
RefineDet Single-Shot Refinement Neural Network for Object Detection caffe
CornerNet CornerNet: Detecting Objects as Paired Keypoints tensorflow
FCOS Fully Convolutional One-Stage Object Detection pytorch
ExtremeNet Bottom-up Object Detection by Grouping Extreme and Center Points pytorch
M2det M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network pytorch
CornerNet-Lite CornerNet-Lite: Efficient Keypoint Based Object Detection pytorch
Scratchdet ScratchDet: Training Single-Shot Object Detectors From Scratch pytorch

RCNN Rich feature hierarchies for accurate object detection and semantic segmentation caffe
Fast RCNN Fast RCNN caffe
Faster RCNN Towards Real-Time Object Detection with Region Proposal Networks caffe tensorflow pytorch
Mask RCNN Mask RCNN keras caffe2 tensorflow pytorch
R-FCN R-FCN: Object Detection via Region-based Fully Convolutional Networks caffe tensorflow pytorch
Light Head RCNN Light-Head R-CNN: In Defense of Two-Stage Object Detector tensorflow pytorch
Cascade RCNN Cascade R-CNN: Delving into High Quality Object Detection caffe
PANet Path Aggregation Network for Instance Segmentation pytorch
Mask Scoring R-CNN Mask Scoring R-CNN pytorch
TridentNet TridentNet：Scale-Aware Trident Networks for Object Detection mxnet
Cascade R-CNN Cascade R-CNN：High Quality Object Detection and Instance Segmentation pytorch
KL-LOSS Bounding Box Regression with Uncertainty for Accurate Object Detection caffe2
Libra-RCNN Libra R-CNN: Towards Balanced Learning for Object Detection pytorch
Grid-RCNN Grid R-CNN pytorch
CBNet CBNet: A Novel Composite Backbone Network Architecture for Object Detection pytorch
TSD 1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation pytorch
DetectoRS DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution pytorch
EfficientDet EfficientDet: Scalable and Efficient Object Detection tensorflow pytorch
D2Det D2Det: Towards High Quality Object Detection and Instance Segmentation pytorch

PrROI Acquisition of Localization confidence for accurate object detection ECCV2018
FreeAnchor FreeAnchor: Learning to Match Anchors for Visual Object Detection pytorch NIPS2019
CBNet CBNet: A Novel Composite Backbone Network Architecture for Object Detection caffe2
CenterNet CenterNet: Keypoint Triplets for Object Detection pytorch

object detection records

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