Material/surface visual-similarity training pairs for fine-tuning
SigLIP2-large with LoRA + Supervised Contrastive loss. Each row links a
catalog product image to one polygon-clipped material crop from a SAM3-segmented
interior room render.
.
├── dataset.jsonl train split (one JSON object per line)
├── eval.jsonl held-out eval split
└──… See the full description on the dataset page:
https://huggingface.co/datasets/subhrokomol/siglip2-large-lora-v1-dataset.