antofuller/CROMA_benchmarks

This repository contains preprocessed data from the paper CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders published at NeurIPS 2023. We did not create these datasets—if you use them, please cite the original papers! All data is stored as PyTorch tensors (inside python dictionaries); images are normalized 8-bit integers. To use these data with CROMA, convert tensors to floats and divide by 255. DFC 2020 dfc = torch.load("DFC_preprocessed.pt") # pixel… See the full description on the dataset page: https://huggingface.co/datasets/antofuller/CROMA_benchmark

<iframe src="https://silytics.si/embed/item/66b6d784-b08b-4d1a-b3b4-e295dac2397a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.