Datasets:
Download provenance/dataset.json from pyfccc/cgeq-image-depth: direct link, hf CLI and curl.
- Browser
- Download file 1.44 kB
-
https://huggingface.co/datasets/pyfccc/cgeq-image-depth/resolve/main/provenance/dataset.json
- Command line
-
hf download hf://datasets/pyfccc/cgeq-image-depth/provenance/dataset.json
-
curl -L -o dataset.json https://huggingface.co/datasets/pyfccc/cgeq-image-depth/resolve/main/provenance/dataset.json
1.44 kB
| { | |
| "derived_dataset": "CGEQ frozen depth calibration cache", | |
| "upstream_dataset": "KITTI", | |
| "upstream_url": "https://www.cvlibs.net/datasets/kitti/", | |
| "license": "CC-BY-NC-SA-3.0", | |
| "license_url": "https://creativecommons.org/licenses/by-nc-sa/3.0/", | |
| "reference_paper": "https://arxiv.org/abs/2205.09095", | |
| "upstream_code": [ | |
| { | |
| "repo": "https://github.com/Shai128/rrc", | |
| "commit": "744422a85bcead54816be2310080be1729c517f6", | |
| "archive_sha256": "5172e7505bf7d2e0edb26c098e0751e154480c50b53c1fc19f5cf4a121fba231" | |
| }, | |
| { | |
| "repo": "https://github.com/Shai128/rrc-old", | |
| "commit": "fa45ebb045c270216b87c3fc3e2f15e81158a3d0", | |
| "archive_sha256": "4bc5d4a81e5c4131b2ba0d389dec5eac1c0445f00cbc1bfd935aed7f0b1c5eb0" | |
| } | |
| ], | |
| "model": "LeReS ResNeXt101", | |
| "offline_updates": 360000, | |
| "online_updates": 4000, | |
| "offline_checkpoint_sha256": "174eb2cf8a6596608151e781e797c57f68f99a299cf996c5e4ccb6e2943fae67", | |
| "frozen_manifest_sha256": "281e4e8672ea7a47bb1e569e1e0c435b59a331be1352a1604b292a924ca2fe59", | |
| "scale_rule": "max((l+u)/2 * processed_to_meters, 0.001 meter)", | |
| "target_description": "Dense filled and reference-preprocessed KITTI-derived depth targets, expressed in meters; not original sparse LiDAR measurements at every pixel.", | |
| "payload_files": 3000, | |
| "payload_bytes_including_manifest": 3352874228, | |
| "original_rgb_images_included": false, | |
| "model_weights_included": false | |
| } | |