Coco Python Packages

supervision

We write your reusable computer vision tools. 💜

faster-coco-eval

Continuation of an abandoned project fast-coco-eval

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

yolov5

Packaged version of ultralytics/yolov5 + many extra features

xtcocotools

Extended COCO-API

hotcoco

Perception evaluation toolkit in Rust with Python bindings. A pycocotools drop-in for COCO, LVIS, and Open Images detection metrics, up to 36× faster, plus TIDE error analysis, confusion matrices, calibration, model comparison, and a dataset browser.

vernier

A modern toolkit to evaluate 2D detection and segmentation models

datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

pylabel

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.

label-studio-converter

Tools for converting Label Studio annotations into common dataset formats

deep-utils

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

keras-cv-attention-models

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

poseaudit

Audit how far off the angles, tilts and lengths a pose model measures are

labelimgplusplus

The maintained LabelImg: image annotation for ML - gallery mode, dark theme, polygons, keypoints, undo/redo, COCO & YOLO-seg export

dataflow-cv

🌊 Everything your model doesn't do. Analyse, convert, visualize, evaluate — a single CLI for all CV data.

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

labelme2coco

A lightweight package for converting your labelme annotations into COCO object detection format.

fastervit

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

cv-suite

Computer vision CLI for dataset work: convert annotations, auto-label, caption, classify, OCR, generate images and clean datasets.

kecam

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

chainer-mask-rcnn

Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)

annolabel

Local image annotation CLI for vision-capable agents: classifications, bounding boxes, polygons, and COCO export.

midv500

Download and convert MIDV-500 annotations to COCO instance segmentation format

echo1-coco-builder

echo1-coco-builder provides a faster, safer way to build coco formatted data.