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Datasets/SEL

SEL

ImagesUnknownIntroduced 2017-10-22

The semantic line (SEL) dataset contains 1,750 outdoor images in total, which are split into 1,575 training and 175 testing images. Each semantic line is annotated by the coordinates of the two end-points on an image boundary. If an image has a single dominant line, it is set as the ground truth primary semantic line. If an image has multiple semantic lines, the line with the best rank by human annotators is set as the ground-truth primary line, and the others as additional ground-truth semantic lines. In SEL, 61% of the images contain multiple semantic lines.

Benchmarks

Line Detection/AUC_FLine Detection/HIoU

Related Benchmarks

SELMA/10-shot image generation/mIoUSELMA/Semantic Segmentation/mIoUSelf-Stimulatory Behavior Dataset/Activity Recognition/Activity RecognitionSelfRegulationSCP2/Time Series Classification/Accuracyselfie-to-anime/1 Image, 2*2 Stitching/Kernel Inception Distanceselfie-to-anime/Image Generation/Kernel Inception Distanceselfie-to-anime/Image-to-Image Translation/Kernel Inception Distanceselfie2anime/1 Image, 2*2 Stitching/DFIDselfie2anime/1 Image, 2*2 Stitching/FIDselfie2anime/1 Image, 2*2 Stitching/LPIPSselfie2anime/Image Generation/DFIDselfie2anime/Image Generation/FIDselfie2anime/Image Generation/LPIPSselfie2anime/Image-to-Image Translation/DFIDselfie2anime/Image-to-Image Translation/FIDselfie2anime/Image-to-Image Translation/LPIPS

Statistics

Papers
5
Benchmarks
2

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Tasks

Line DetectionScene Understanding