diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3f238a12fded01d5834d1fd212b70b4ca3ed8fdd --- /dev/null +++ b/README.md @@ -0,0 +1,130 @@ +--- +license: +- cc-by-4.0 +- cc-by-nc-4.0 +pretty_name: VTOS Benchmarks (LVIS-Count, PlantSeg-OOD) +task_categories: +- object-detection +- image-segmentation +- visual-question-answering +size_categories: +- n<1K +--- + +# VTOS Benchmarks + +Two small benchmarks used in [VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions +and Observers](https://arxiv.org/abs/2606.20728) (EMNLP 2026). Code: https://github.com/jinchaogjc/VTOS. +Each benchmark has a 60 / 20 / 100 train / val / test split. + +| Subset | Task | Items | Images | Source | +|---|---|---|---|---| +| `lvis_count/` | object counting | 180 | 180 | LVIS (images from COCO) | +| `plantseg_ood/` | plant-disease segmentation | 180 | 180 | PlantSeg | + +## Layout + +``` +lvis_count/ + benchmark_train.json benchmark_val.json benchmark_test.json + images/lvis_count_001.jpg ... lvis_count_180.jpg +plantseg_ood/ + benchmark_train.json benchmark_val.json benchmark_test.json + images/__.jpg +``` + +Each JSON file is a list of items. `image_path` is relative to the subset's `images/` directory. +Every image is referenced by exactly one item. + +## Fields + +Coordinates are normalized to [0, 1]. Bounding boxes are `[x_top_left, y_top_left, width, height]` +(FiftyOne convention). + +**lvis_count** + +| Field | Description | +|---|---| +| `task_id` | item identifier | +| `image_path` | file name under `images/` | +| `question` | counting question | +| `target_class` | LVIS category to count | +| `count` | ground-truth count (= number of boxes) | +| `density_tier` | density bucket | +| `bounding_boxes` | one box per target instance | +| `meta_info.source_image_id` | sample id in the FiftyOne LVIS export | +| `meta_info.source_filepath` | file path in that export; the file name is the COCO image id | + +**plantseg_ood** + +| Field | Description | +|---|---| +| `task_id` | item identifier | +| `image_path` | file name under `images/` | +| `question` | localization question | +| `plant` | host plant | +| `target_class` | disease name | +| `mask_ratio` | fraction of image area covered by the disease mask | +| `difficulty_tier` | difficulty bucket | +| `bounding_boxes` | one box per region | +| `segmentations` | one polygon per region, list of `[x, y]` points | +| `meta_info` | `n_bboxes`, `n_polygons`, `source_filepath` in the FiftyOne PlantSeg export | + +## Sources and licenses + +| Subset | License | Images | +|---|---|---| +| `lvis_count/` | CC BY 4.0 | COCO images; copyright remains with the image owners, use subject to the Flickr Terms of Use | +| `plantseg_ood/` | CC BY-NC 4.0 (non-commercial use only) | from PlantSeg, same license | + +**lvis_count.** Annotations are taken from LVIS, licensed CC BY 4.0 +(https://www.lvisdataset.org/dataset). LVIS images come from COCO. The COCO Consortium does not +own the image copyrights; use of the images must follow the Flickr Terms of Use +(https://cocodataset.org/#termsofuse). Per-image Flickr licenses were not verified for this subset. +Local copy obtained from the FiftyOne LVIS export. Image files were renamed to `lvis_count_XXX.jpg`; +image content is unmodified. + +**plantseg_ood.** Taken from PlantSeg (Wei et al., 2024). Zenodo lists v1 (2024-08, +https://doi.org/10.5281/zenodo.13293891) as CC BY-NC-ND 4.0 and the latest version, v7 +(2025-11, https://zenodo.org/records/17719108), as CC BY-NC 4.0. This subset is distributed under +CC BY-NC 4.0 and is for non-commercial use only. Local copy obtained from `Voxel51/PlantSeg-Test` +on Hugging Face; which Zenodo version that export is based on could not be verified. +Bounding boxes match the FiftyOne export for 177 of 180 items. GPS metadata was removed from three +images; pixel data of all images is unmodified. + +## Citation + +If you use these benchmarks, please cite VTOS and the source datasets. + +```bibtex +@misc{ge2026vtos, + title={{VTOS}: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers}, + author={Ge, Jinchao and Liu, Lingqiao and Zhao, Shuwen and Wang, Lei}, + year={2026}, + eprint={2606.20728}, + archivePrefix={arXiv}, + primaryClass={cs.CV}, + url={https://arxiv.org/abs/2606.20728} +} + +@inproceedings{gupta2019lvis, + title={{LVIS}: A Dataset for Large Vocabulary Instance Segmentation}, + author={Gupta, Agrim and Doll{\'a}r, Piotr and Girshick, Ross}, + booktitle={CVPR}, + year={2019} +} + +@inproceedings{lin2014microsoft, + title={Microsoft {COCO}: Common Objects in Context}, + author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C. Lawrence}, + booktitle={ECCV}, + year={2014} +} + +@article{wei2024plantseg, + title={PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation}, + author={Wei, Tianqi and Chen, Zhi and Yu, Xin and Chapman, Scott and Melloy, Paul and Huang, Zi}, + journal={arXiv preprint arXiv:2409.04038}, + year={2024} +} +``` diff --git a/lvis_count/benchmark_test.json b/lvis_count/benchmark_test.json new file mode 100644 index 0000000000000000000000000000000000000000..57d1ad8fabfb3859acab2a5107488c3db611d0f4 --- /dev/null +++ b/lvis_count/benchmark_test.json @@ -0,0 +1,39088 @@ +[ + { + "task_id": "v_trace_logic_081", + "image_path": "lvis_count_081.jpg", + "question": "How many sheep are visible in this image?", + "target_class": "sheep", + "count": 48, + "density_tier": "normal", + "bounding_boxes": [ + [ + 0.21640625, + 0.5820582120582121, + 0.00615625, + 0.009230769230769232 + ], + [ + 0.146078125, + 0.6596257796257796, + 0.0116875, + 0.006299376299376299 + ], + [ + 0.42459375, 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