# cocodataset/cocoapi

COCO API - Dataset @ http://cocodataset.org/

Repository: https://github.com/cocodataset/cocoapi
Canonical: https://ross.abutalabs.com/products/cocoapi
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2024-04-17T05:14:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4238, "days_push": 868, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6384, forks 3727 (observed 2026-08-28T04:09:42.995685+00:00)

## What it is
Official API for the COCO (Common Objects in Context) dataset, providing Matlab, Python, and Lua interfaces to load, parse, and visualize COCO annotations. It supports tasks such as object detection, segmentation, person keypoints detection, stuff segmentation, and caption generation.

## Use cases
- load and parse COCO annotation files
- visualize object detection and segmentation annotations
- evaluate object detection models on COCO
- work with person keypoints annotations
- prepare COCO data for training detection models

## When to choose
- you are training or evaluating models on the COCO dataset
- you need to inspect or visualize COCO annotations
- you need standard COCO evaluation metrics like mAP

## When to avoid
- you work with datasets other than COCO format without conversion
- you need a maintained library with active development
- you need APIs beyond Matlab, Python, or Lua

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, data-science, image-processing, data-visualization
- domain: computer-vision, machine-learning, deep-learning
- platform: python, cross-platform
- tags: coco-dataset, object-detection, image-segmentation, annotations, computer-vision-datasets, datasets

## Member repositories
- cocodataset/cocoapi (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:42.995685+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:45:04.375681+00:00, confidence not recorded.
  - readme: https://github.com/cocodataset/cocoapi (fetched 2026-08-28T04:09:42.995685+00:00, sha 7f3b51a9c2fd)
- Data as of 2026-08-30T08:39:29.467469+00:00.