Mushroom Net is a comprehensive, human-curated dataset of mushroom images extracted from 53 unique source archives (~69 GB). It is designed to train high-performance vision models (CLIP, ResNet, ViT) for mushroom classification, edibility prediction, and object detection.
Total Images: 227,230
Resolution: 224x224 RGB (Normalized)
Unique Classes: 2,350+ Normalized Taxonomies
Classification Heads: 4 (Species… See the full description on the dataset page: https://huggingface.co/datasets/ShivRamSaud/mushroom-net.
