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imagewidth (px) 640
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ADE_val_00000046_0 | |
ADE_val_00000178_0 | |
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ADE_val_00000001_5 | |
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ADE_val_00000087_5 | |
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ADE_val_00000214_0 | |
ADE_val_00000341_0 | |
ADE_val_00000237_0 | |
ADE_val_00000029_0 | |
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ADE_val_00000029_5 | |
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ADE_val_00000202_0 | |
ADE_val_00000276_0 | |
ADE_val_00000378_0 | |
ADE_val_00000186_0 | |
ADE_val_00000231_0 | |
ADE_val_00000453_0 | |
ADE_val_00000069_0 | |
ADE_val_00000008_0 | |
ADE_val_00000205_0 | |
ADE_val_00000041_5 | |
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ADE_val_00000034_5 | |
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ADE_val_00000043_0 | |
ADE_val_00000299_0 | |
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ADE_val_00000203_0 | |
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ADE_val_00000087_0 | |
ADE_val_00000361_0 | |
ADE_val_00000402_0 | |
ADE_val_00000041_0 | |
ADE_val_00000075_0 | |
ADE_val_00000288_0 | |
ADE_val_00000083_0 | |
ADE_val_00000369_0 | |
ADE_val_00000383_0 | |
ADE_val_00000042_10 | |
ADE_val_00000017_5 | |
ADE_val_00000388_0 | |
ADE_val_00000290_0 | |
ADE_val_00000261_0 | |
ADE_val_00000040_5 | |
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ADE_val_00000365_0 | |
ADE_val_00000047_5 | |
ADE_val_00000042_5 | |
ADE_val_00000443_0 | |
ADE_val_00000001_0 | |
ADE_val_00000367_0 | |
ADE_val_00000194_0 | |
ADE_val_00000289_0 | |
ADE_val_00000249_0 | |
ADE_val_00000085_5 | |
ADE_val_00000263_0 | |
ADE_val_00000357_0 | |
ADE_val_00000224_0 | |
ADE_val_00000363_0 | |
ADE_val_00000011_5 | |
ADE_val_00000392_0 | |
ADE_val_00000187_0 | |
ADE_val_00000327_0 | |
ADE_val_00000239_0 | |
ADE_val_00000442_0 | |
ADE_val_00000070_0 | |
ADE_val_00000026_5 | |
ADE_val_00000025_0 | |
ADE_val_00000206_0 | |
ADE_val_00000039_5 | |
ADE_val_00000026_0 | |
ADE_val_00000042_0 | |
ADE_val_00000371_0 | |
ADE_val_00000422_0 | |
ADE_val_00000287_0 | |
ADE_val_00000350_0 | |
ADE_val_00000091_5 | |
ADE_val_00000344_0 | |
ADE_val_00000043_5 |
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ADE20K_OVSEG_Som Dataset
This dataset contains images from the ADE20K dataset, specifically processed for open-vocabulary segmentation (OVSEG) and used in the Set-of-Mark (SoM) benchmark.
Original Dataset:
This dataset is based on the ADE20K dataset. Please refer to the original ADE20K dataset for its terms of use and licensing.
Benchmark Reference:
This dataset is formatted to be compatible with the benchmark setup described in the following repository:
Citation (SoM):
If you use this benchmark setup in your research, please cite the following paper:
@article{yang2023setofmark,
title={Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V},
author={Jianwei Yang and Hao Zhang and Feng Li and Xueyan Zou and Chunyuan Li and Jianfeng Gao},
journal={arXiv preprint arXiv:2310.11441},
year={2023},
}
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