StonyBrook-CVLab/Synthetic-SBU-1M
PixCell: A generative foundation model for digital histopathology images [๐ arXiv][๐ฌ PixCell-1024] [๐ฌ PixCell-256] [๐ฌ Pixcell-256-Cell-ControlNet] [๐พ Synthetic SBU-1M] Load dataset import numpy as np from datasets import load_dataset dataset = load_dataset("StonyBrook-CVLab/Synthetic-SBU-1M") print("Total # of images:", len(dataset['train'])) idx = np.random.randint(0, len(dataset['train'])) image = dataset['train'][idx]['image']
| Author / organization | StonyBrook-CVLab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 3 June 2025 |
| Last updated at source | 6 June 2025 |
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