Datasets › EntitySeg

EntitySeg

Introduced by Lu Qi et al. in High-Quality Entity Segmentation10 Nov 2022 archive 2025-07-28

The EntitySeg dataset contains 33,227 images with high-quality mask annotations. Compared with existing dataets, there are three distinct properties in EntitySeg. First, 71.25% and 86.23% of the images are of high resolution with at least 2000px×2000px and 1000px×1000px which is more consistent with current digital imaging trends. Second, the dataset is open-world and is not limited to predefined classes. Third, the mask annotation along the boundaries are more accurate than existing datasets.

Source: Fine-Grained Entity Segmentation

Image Source: https://arxiv.org/pdf/2211.05776v1.pdf

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 9 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution-NonCommercial 4.0 International License

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • EntitySeg

1 variant name, as the archive lists them.

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