CoolFace
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Maximilians /ps2_hf143 likes449k downloads1mo agoHugging Facemaximilian-franz /basilimage1K<n<10K1 likes3.1k downloads18d agoHugging Facemaximilian-franz /basil-2image1K<n<10K0 likes2k downloads18d agoHugging Facemaximilian-franz /basil-instances maximilian-franz/basil-instances Per-plant-instance segmented crops derived from ['maximilian-franz/basil', 'maximilian-franz/basil-2'], one row per (original frame × confirmed plant instance). Layout ImageFolder-style dataset: metadata.csv at the repo root, with a file_name column pointing to each row's masked crop under images/<plant_instance_id>/<NNNN>.png, and a bbox_file_name column pointing to the same row's plain rectangular crop under… See the full description on the dataset page: https://huggingface.co/datasets/maximilian-franz/basil-instances.image10K<n<100K0 likes1.8k downloads1mo agoHugging Facenamvt /v1_300hours_maximum_5spks_precompute_25600frames0 likes877 downloads2mo agoHugging Facemaximegmd /MetaMedQA MetaMedQA Dataset Overview MetaMedQA is an enhanced medical question-answering benchmark that builds upon the MedQA-USMLE dataset. It introduces uncertainty options and addresses issues with malformed or incorrect questions in the original dataset. Additionally, it incorporates questions from the Glianorex benchmark to assess models' ability to recognize the limits of their knowledge. Key Features Extended version of MedQA-USMLE Incorporates uncertainty… See the full description on the dataset page: https://huggingface.co/datasets/maximegmd/MetaMedQA.textquestion-answering1K<n<10K2 likes741 downloads2y agoHugging Face