datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NSFW-MultiDomain-Classification
NSFW_MultiDomain
The NSFW_MultiDomain dataset is a curated image classification dataset focused on multi-domain adult content recognition. It consists of 5 distinct categories aimed at facilitating the development of robust NSFW (Not Safe For Work) image classification models. This dataset enables training and benchmarking of models that can distinguish between subtle variations in explicit and non-explicit content across artistic, animated, and real-world imagery.… See the full description on the dataset page: https://huggingface.co/datasets/strangerguardhf/NSFW-MultiDomain-Classification.Brain3-Anomaly-Classification
Brain3-Anomaly-Classification
The Brain3-Anomaly-Classification dataset is a curated collection of brain MRI scans categorized into three types of brain anomalies. It is designed for use in machine learning applications related to medical imaging, especially in the detection and classification of brain tumors.
Dataset Summary
Total Samples: 6,000
Image Size: 512 x 512 pixels (grayscale)
Number of Classes: 3
Data Split: Only train split is provided
Each image in the… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Brain3-Anomaly-Classification.