pyfccc/cgeq-image-depth
CGEQ image-depth calibration data Frozen prediction/target/uncertainty data for replaying the CGEQ image-depth experiment without downloading RGB photographs, training LeReS or using a GPU. This is an independently prepared KITTI-derived research cache, not an official release of KITTI or the reference paper's prediction data. 3,000 compressed NPZ files; 3.12 GiB (3,352,874,228 bytes including the manifest). Each image is one online datapoint. Pixels supply within-image coverage… See the full description on the dataset page: https://huggingface.co/datasets/pyfccc/cgeq-image-depth.
| Author / organization | pyfccc |
|---|---|
| License (as declared) | cc-by-nc-sa-3.0 |
| Downloads | 251 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 September 2026 |
| Last updated at source | 27 September 2026 |
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