All datasets / alecccdd
alecccdd/celeb-fbi-pose-estimation
The declared licence (apache-2.0) is classified as permissive.
- Declared licence
- apache-2.0, from the tagEvidence: README.md at 5998549
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 5998549
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
- image-segmentation
- image-classification
- image-feature-extraction
- feature-extraction
- keypoint-detection
- zero-shot-object-detection
Citation text from the card
@article{yang2025sam3dbody,
title={SAM 3D Body: Robust Full-Body Human Mesh Recovery},
author={Yang, Xitong and Kukreja, Devansh and Pinkus, Don and Sagar, Anushka and Fan, Taosha and Park, Jinhyung and Shin, Soyong and Cao, Jinkun and Liu, Jiawei and Ugrinovic, Nicolas and Feiszli, Matt and Malik, Jitendra and Dollar, Piotr and Kitani, Kris},
journal={arXiv preprint},
year={2025}
}
@misc{debnath2024celebfbibenchmarkdatasethuman,
title={Celeb-FBI: A Benchmark Dataset on Human Full Body Images and Age, Gender, Height and Weight Estimation using Deep Learning Approach},
author={Pronay Debnath and Usafa Akther Rifa and Busra Kamal Rafa and Ali Haider Talukder Akib and Md. Aminur Rahman},
year={2024},
eprint={2407.03486},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.03486},
}
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dataset_licence({ "id": "alecccdd/celeb-fbi-pose-estimation" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0