datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Heliconius-Collection_Cambridge-Butterfly
Dataset Card for Heliconius Collection (Cambridge Butterfly)
Dataset Description
Dataset Summary
Subset of the collection records from Chris Jiggins' research group at the University of Cambridge, collection covers nearly 20 years of field studies.
This subset contains approximately 36,189 RGB images of 11,962 specimens (29,134 images of 10,086 specimens across all Heliconius). Many records have both images and locality data.
Most images were… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/Heliconius-Collection_Cambridge-Butterfly.CAMELYON17
CAMELYON17
1. Tổng quan
CAMELYON17 là dataset mở rộng của CAMELYON16, gồm ảnh WSI hạch bạch huyết canh gác từ 5 trung tâm y tế khác nhau (multi-center), với 1000 WSI (5 slide/bệnh nhân x 200 bệnh nhân). Bài toán chính là phân loại di căn theo 4 mức tại cấp lymph-node (negative/isolated tumor cells/micro-metastases/macro-metastases) và tổng hợp thành pN-stage tại cấp bệnh nhân.
Nguồn dữ liệu: AWS Open Data, s3://camelyon-dataset/CAMELYON17/ (region us-west-2, truy… See the full description on the dataset page: https://huggingface.co/datasets/okbro1234/CAMELYON17.camie-tagger-vs-wd-tagger-val
What's what
1_json_to_csv.py:
converts cm_tags.json to a csv format I'm more used to and that is easier to use with my existing tooling
2_retrieve_images_by_cc.py:
retrieves the validation images using cheesechaser, downloads them to "original/"
3_common_tags.py:
clean up both models tag sets to only consider the common tags; note down the indexes to use to fetch the correct tag probs from the dumps generated by the inference scripts
4_cm_onnx_inference.py:
run… See the full description on the dataset page: https://huggingface.co/datasets/SmilingWolf/camie-tagger-vs-wd-tagger-val.