There are 6 repositories under coco topic.
We write your reusable computer vision tools. 💜
Tensorflow Faster RCNN for Object Detection
Mask RCNN in TensorFlow
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
To speedup and simplify image labeling/ annotation process with multiple supported formats.
Convert JSON annotations into YOLO format.
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
Helper functions to create COCO datasets
Visual Question Answering in Pytorch
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
Computer vision based ML training data generation tool :rocket:
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Object detection on multiple datasets with an automatically learned unified label space.
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
Packaged version of ultralytics/yolov5 + many extra features
🔄 A tool for object detection and image segmentation dataset format conversion.
A lightweight package for converting your labelme annotations into COCO object detection format.
The official homepage of the (outdated) COCO-Stuff 10K dataset.
Yolo to COCO annotation format converter