datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
salmonella-serovar-hyperspectral
Salmonella Serovar Hyperspectral Microscopy (Foods 2025)
Salmonella Serovar Hyperspectral Microscopy is an image dataset for foodborne bacterial classification using hyperspectral imaging. It was created to support research in rapid pathogen identification, enabling models to classify Salmonella serovars directly from microscopy images without the need for selective enrichment.
Companion spectral dataset: The single-cell spectral features (tabular, 25,972 rows) extracted from these… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/salmonella-serovar-hyperspectral.microcolony-domain-adaptationMicrocolony Domain Adaptation (Foodborne Bacteria) is a microscopy image dataset for foodborne bacterial classification under varying imaging conditions. It was created to support research in adversarial domain adaptation, enabling models trained on standard phase contrast microscopy images to generalize across different optical configurations and biological conditions.
This dataset accompanies the publication: Bhattacharya, S., Wasit, A., Earles, M., Nitin, N., & Yi, J. (2025). Enhancing AI… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/microcolony-domain-adaptation.Nexora-vision-dataset-v2-medium
Nexora Vision Dataset v2 Medium
The Nexora Vision Dataset v2 Medium is a scalable, mixed-resolution image dataset designed for generative AI experimentation, diffusion model workflows, and computer vision research.
Developed and curated by ArkDevLabs / ArkAiLab (ADL).
Official Website: https://arkdevlabs.com
Dataset Summary
Nexora Vision Dataset v2 Medium contains 9,236 curated images packaged in both:
Raw image format
Optimized Parquet format
This release prioritizes:… See the full description on the dataset page: https://huggingface.co/datasets/ArkAiLab-Adl/Nexora-vision-dataset-v2-medium.