{"id":348,"slug":"vsevolodpl--repid","name":"REPID","author":"vsevolodpl","description":"\n\t\n\t\t\n\t\tREPID: Rendering Evaluation of Photographic Image Dataset\n\t\n\n REPID (officially introduced as the Rendering Evaluation of Photographic Image Dataset) is a large-scale benchmark designed for Image Rendering Quality Assessment (IRQA).\n\nUnlike traditional Image Quality Assessment (IQA) which focuses on technical degradations like noise or blur, REPID aims to model subjective human aesthetic preferences for different rendering styles of the same scene.\n\n\n\t\n\t\t\n\t\n\t\n\t\tDataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/vsevolodpl/REPID.","tags":"[\"Task_categories:image-Classification\",\"Task_categories:image-To-Image\",\"Task_categories:other\",\"Size_categories:10K<n<100K\",\"Format:csv\",\"Modality:image\"]","license":null,"framework":null,"parameters":null,"downloads":49408,"likes":3,"verified":0,"created_at":"2026-04-20 23:04:28","updated_at":"2026-04-25 06:00:02","source_url":"https://huggingface.co/datasets/vsevolodpl/REPID","source_platform":"huggingface","hf_repo_id":"vsevolodpl/REPID","ollama_name":"","category":"dataset","latest_version":"v1.0.0","version_count":1,"signature_count":1,"risk_level":null,"risk_score":null,"versions":[{"id":347,"model_id":348,"version":"v1.0.0","manifest_hash":"b19765d5090de12fddc76557f1a034fb8cee982235ece53fc72c335e096c4a46","file_count":0,"total_size":0,"r2_manifest_key":"manifests/datasets/vsevolodpl--repid/v1.0.0.json","created_at":"2026-04-20 23:04:28"}],"files":[],"signatures":[{"id":804,"version_id":347,"signer_did":"did:quantamrkt:registry:shield-v1","algorithm":"ML-DSA-65","signature_hex":"20088843b0fa51409c8468d9cae8eee509e463d28940801e84e5c763dd1813d6","attestation_type":"registry","signed_at":"2026-04-20 23:04:29"}],"hndl":null}