datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Pharmacy-Drug-Image-Recognition-Dataset
Pharmacy Drug Image Recognition Dataset
The dataset is characterized by 99% annotation accuracy and 95% annotation consistency. It uses innovative multimodal image enhancement technology and quality assessment methods specific to medical images, ensuring excellent performance and a 92% recognition accuracy in various usage environments. In comparison with other medical image datasets, this dataset stands out with its refined category annotations and diverse collection conditions… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Pharmacy-Drug-Image-Recognition-Dataset.pcl-pasi
PCL-PASI
PCL-PASI (Preclinical PASI) is a multi-task multi-device image dataset for psoriasis severity assessment in mice. Each image carries three independent severity scores — Erythema, Thickness, Scaling — on a simplified 3-class scale (0 None, 1 Mild, 2 Severe). Images were captured with three devices (Sony α6500, Xiaomi 12 Lite, iPhone 15 Pro) across an 11-day experimental window.
🔒 Access policy (gated, manual approval)
Review phase: We collect access requests… See the full description on the dataset page: https://huggingface.co/datasets/pharmaiktu/pcl-pasi.