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. The image selection process consists on computing the Inter-Quartile Range (IQR) intensity value on all the images, images larger than 720×720 pixels were not considered. In dataset whose images are in HR, they were cut. We thank all the datasets owners to make them public. This dataset is just for Edge Detection not contour nor Boundary tasks.
Variants: UDED
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Edge Detection | TEED | Tiny and Efficient Model for … | 2023-08-12 |
| Edge Detection | DexiNed | Dense Extreme Inception Network for … | 2021-12-04 |
| Edge Detection | PiDiNet | Pixel Difference Networks for Efficient … | 2021-08-16 |
Recent papers with results on this dataset: