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Edge Detection datasets
archive 2025-07-28
9 datasets carry the task tag "Edge Detection" (the task itself: Edge Detection), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Edge Detection datasets 1–9 of 9
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes.
3,702 papers · 51 benchmarks
BSDS500 (Berkeley Segmentation Dataset 500)
Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection.
261 papers · 8 benchmarks
SBD (Semantic Boundaries Dataset)
The Semantic Boundaries Dataset (SBD) is a dataset for predicting pixels on the boundary of the object (as opposed to the inside of the object with semantic segmentation).
147 papers · 2 benchmarks
BIPED (Barcelona Images for Perceptual Edge Detection)
Details It contains 250 outdoor images of 1280×720 pixels each.
25 papers · 1 benchmark
UDED (Unified Dataset for Edge Detection)
This dataset is a collection of 1, 2, or 3 images from: BIPED, BSDS500, BSDS300, DIV2K, WIRE-FRAME, CID, CITYSCAPES, ADE20K, MDBD, NYUD, THANGKA, PASCAL-Context, SET14, URBAN10, and the camera-man image.
8 papers · 1 benchmark
MDBD (Multicue Dataset for Edge Detection)
In order to study the interaction of several early visual cues (luminance, color, stereo, motion) during boundary detection in challenging natural scenes, we have built a multi-cue video dataset composed of short binocular video sequences…
6 papers · 1 benchmark
BRIND is a short name of BSDS-RIND is the first public benchmark that dedicated to studying simultaneously the four edge types, namely Reflectance Edge (RE), Illumination Edge (IE), Normal Edge (NE) and Depth Edge (DE)
3 papers · 1 benchmark
CID (Campus Image Dataset)
The CID (Campus Image Dataset) is a dataset captured in low-light env with the help of Android programming.
2 papers · 1 benchmark
The INRIA-Horse dataset consists of 170 horse images and 170 images without horses.
2 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.