keanteng/srgan-div2k-0723-v2
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End of preview. Expand
in Data Studio
This repo contains BSD100, Set5 and Set14 for super resolution evaluation study. To access the zipped file:
from huggingface_hub import hf_hub_download
# Replace with the actual repository ID and filename
repo_id = "keanteng/bsd100-set5-set14"
filename = "BSD100.zip" # or Set5.zip and Set14.zip
local_filepath = hf_hub_download(repo_id=repo_id, filename=filename)
print(f"File downloaded to: {local_filepath}")
- Downloads last month
- 7
Size of downloaded dataset files:
114 MB
Size of the auto-converted Parquet files:
114 MB
Number of rows:
714
Models trained or fine-tuned on keanteng/bsd100-set5-set14