Download MANIFEST.json from EladY/captor: direct link, hf CLI and curl.
- Browser
- Download file 1.56 kB
-
https://huggingface.co/EladY/captor/resolve/main/MANIFEST.json
- Command line
-
hf download hf://EladY/captor/MANIFEST.json
-
curl -L -o MANIFEST.json https://huggingface.co/EladY/captor/resolve/main/MANIFEST.json
1.56 kB
| { | |
| "hub_repository": "EladY/captor", | |
| "format_version": 1, | |
| "tables": [ | |
| { | |
| "name": "coco_dinov2reg_k640", | |
| "file": "coco_dinov2reg_k640.npz", | |
| "in_git": false, | |
| "encoder": "dinov2_reg (DINOv2 ViT-B/14 with registers, 196 px, 14 x 14 grid)", | |
| "words": 640, | |
| "vocabularies": 4, | |
| "joint_words": 178828, | |
| "caption_corpus": "COCO train2017, 15,000 captioned images", | |
| "terms": 78, | |
| "term_list": "the 80 COCO object categories except toaster and hair drier, which do not clear their permutation null", | |
| "readout": "soft assignment m=16, beta=10; joint words with trust lambda=3; one round of caption-conditioned recounting; null-scaled signatures; phrase-aware caption matching with full names required for 8 terms; propagation", | |
| "reference_result": "COCO val2017, reporting half (2,500 images): mIoU 0.5654, accuracy 0.768", | |
| "bytes": 66646748, | |
| "sha256": "4a3ba1727a7a26a86b2acf377c366b0ee3325d9cdcb7cf6b525b798971bb12cb" | |
| }, | |
| { | |
| "name": "pathcap_conch_k80", | |
| "file": "pathcap_conch_k80.npz", | |
| "in_git": true, | |
| "encoder": "conch (CONCH ViT-B/16 image trunk, field at 224 px read at 448 px, 28 x 28 grid)", | |
| "words": 80, | |
| "vocabularies": 4, | |
| "caption_corpus": "PathCap, 32,463 captioned figures", | |
| "terms": 25, | |
| "readout": "hard assignment, vocabularies averaged, no null division, substring caption matching; propagation", | |
| "reference_result": "BCSS, 62 reporting patients (134 fields): mIoU 0.4966", | |
| "bytes": 1023762, | |
| "sha256": "63527fe3af5553e8e95e2d248bb4ede10089aa4b05eeff35ea0f5105f38c7bcc" | |
| } | |
| ] | |
| } | |