datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nordland
Nordland Dataset
This dataset is from the original videos released here: https://nrkbeta.no/2013/01/15/nordlandsbanen-minute-by-minute-season-by-season/
Citation Information
Please cite the original publication if you use this dataset.
Sünderhauf, Niko, Peer Neubert, and Peter Protzel. "Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons." Proc. of Workshop on Long-Term Autonomy, IEEE International Conference on Robotics and Automation… See the full description on the dataset page: https://huggingface.co/datasets/Somayeh-h/Nordland.DocParsingBenchDocParsingBench is a document intelligence benchmark of 1,400 images, systematically collected and annotated from real business workflows. It is the first dataset to systematically catalogue the document elements most frequently encountered in enterprise settings, covering five major domains: finance, legal, scientific research, manufacturing, and education.
🆕 Latest Updates
[2026.04.17] DocParsingBench evaluation toolkit release. Unified scoring is now available for the three… See the full description on the dataset page: https://huggingface.co/datasets/SoMarkAI/DocParsingBench.tifa_and_aerith_2mixedwuhuTatsumakiAnn_TakamakiSomali_Food_Dataset_Mini
Dataset Card for Somali Food Mini
Dataset Summary
Somali Dataset Mini is a balanced collection of traditional Somali food and drink images.It showcases the culinary diversity of Somalia through six main meal types and 29 food categories.
Each class contains approximately 100 images, making it ideal for:
Computer vision experiments
Image classification projects
Transfer learning and CNN model training
📁 Dataset Structure
This dataset contains images… See the full description on the dataset page: https://huggingface.co/datasets/AbdisamadO/Somali_Food_Dataset_Mini.Somany-Ceramicssomali-videosSomaliDataaerith_tifa_edit