# amusi/awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Repository: https://github.com/amusi/awesome-object-detection
Canonical: https://ross.abutalabs.com/products/awesome-object-detection
License Family: other
Topics: object-detection, detection, computer-vision, deep-learning, object-localisation
Last push: 2022-12-17T04:28:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3071, "days_push": 1355, "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 7505, forks 1919 (observed 2026-08-28T04:10:00.388309+00:00)

## What it is
A curated awesome-list of papers, code repositories, and surveys on object detection in deep learning, covering models from R-CNN and YOLO to SSD, RetinaNet, and 3D/zero-shot detection. It is a reference catalog rather than runnable software, based on handong1587's deep learning notes.

## Use cases
- find papers on object detection models like YOLO and Faster R-CNN
- get a survey of deep learning based object detection research
- find official code implementations for detection models
- learn about object detection methods chronologically
- research weakly supervised or zero-shot object detection

## When to choose
- you need a curated index of object detection papers and their code
- you are surveying the object detection literature for research or study

## When to avoid
- you need a ready-to-use detection model or inference library
- you need actively maintained tooling rather than a paper list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, deep-learning, machine-learning
- domain: computer-vision, deep-learning, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, object-detection, curated-papers, yolo, rcnn, ssd

## Member repositories
- amusi/awesome-object-detection (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:00.388309+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 2026-08-29T17:37:31.095674+00:00, confidence not recorded.
  - readme: https://github.com/amusi/awesome-object-detection (fetched 2026-08-28T04:10:00.388309+00:00, sha 1e3e9f7b60c8)
- Data as of 2026-08-30T08:39:29.467469+00:00.