StackCounting Dataset

Stacks-3D-Real:

• Multi-view images of stacks with ground-truth counts verified manually (45 scenes)
• Segmentation masks of objects and their containers
• Human estimations for over 30 participants

Stacks-3D-Synth:

• A large-scale synthetic dataset of over 13000 3D stacks
• Ground-truth counts and percentage of volume occupied by objects
• Multi-View 2D renders and masks
• 3D meshes of the object and stack (Note: some stack meshes are not included due to size limitations, and the rest need to be decompressed with the python script included in this repository)

Stacks-2D-Real:

• A single-view dataset of real-scenes and ground-truth counts (71 scenes)
• 2D localizations and count of visible objects, i.e. only objects that appear in the image

Citation

@inproceedings{dumery2025counting,
   title = {{Counting Stacked Objects}},
   author = {Dumery, Corentin and Ett{\'e}, Noa and Fan, Aoxiang and Li, Ren and Xu, Jingyi and Le, Hieu and Fua, Pascal},
   booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
   year = {2025}
}

@misc{dumery2025stackcounting,
   title = {StackCounting Dataset},
   author = {Dumery, Corentin and Ett{\'e}, Noa and D'Alessandro, Adriano},
   year = {2025}
   publisher = {Zenodo},
   doi = {10.5281/zenodo.15609540},
   url = {https://doi.org/10.5281/zenodo.15609540},
}