# MarkMoHR/Awesome-Edge-Detection-Papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

Repository: https://github.com/MarkMoHR/Awesome-Edge-Detection-Papers
Canonical: https://ross.abutalabs.com/products/awesome-edge-detection-papers
License Family: other
Topics: edge-detection, contour-detection, boundary-detection, edge-detection-algorithms, contour-extraction, edge-detection-papers, edge-extraction, edge-detection-toolbox, edge-toolbox
Last push: 2024-12-19T07:11:01+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": 2705, "days_push": 622, "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 1569, forks 261 (observed 2026-08-28T04:05:05.268910+00:00)

## What it is
A curated awesome-list of edge, contour, and boundary detection papers with links to source code, datasets, and a toolbox. It covers both deep-learning-based and traditional approaches across general, semantic, and occlusion boundary detection.

## Use cases
- find papers on edge detection
- locate code implementations for contour detection models
- find edge detection datasets like BSDS500
- research semantic edge detection methods
- compare traditional vs deep learning boundary detection approaches

## When to choose
- surveying the edge detection research landscape
- looking for reference implementations or datasets for boundary detection
- starting research on contour or semantic edge detection

## When to avoid
- needing a ready-to-use production edge detection library
- needing maintained software with a license and support

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, image-processing
- domain: computer-vision, image-processing, awesome-lists
- platform: cross-platform
- tags: awesome-list, edge-detection, contour-detection, boundary-detection, papers, deep-learning

## Member repositories
- MarkMoHR/Awesome-Edge-Detection-Papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:05.268910+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 2026-08-30T03:58:34.964980+00:00, confidence not recorded.
  - readme: https://github.com/MarkMoHR/Awesome-Edge-Detection-Papers (fetched 2026-08-28T04:05:05.268910+00:00, sha 237c2ed78dc8)
- Data as of 2026-08-30T08:39:29.467469+00:00.