coco-dataset

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

Multi-person Human Pose Estimation with HRNet in Pytorch

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

Distribution-Aware Coordinate Representation for Human Pose Estimation

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Localize and identify multiple objects in a single image.

Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)

How to create custom COCO data set for object detection

a subset of coco dataset for faster experimentation

Convert segmentation RGB mask images to COCO JSON format

How to create custom COCO data set for instance segmentation

[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support

Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

Chainer implementation of Pose Proposal Networks

IBM Code Model Asset Exchange: Show and Tell Image Caption Generator

Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc