Add model/dataset card (README.md)
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README.md
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---
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license: other
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license_name: depth-cc-by-4.0-photos-mixed-per-source
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task_categories:
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- depth-estimation
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- image-to-image
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tags:
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- depth
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- pseudo-labels
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- monocular-depth
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- depth-anything-v2
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- high-resolution
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---
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# hires1920 Depth Backup
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Cold backup of **high-resolution (1920×1088) monocular depth pseudo-labels** with their
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source photographs — the high-res counterpart of the pipeline behind
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[`androidli/photo-depth-pseudo-labels`](https://huggingface.co/datasets/androidli/photo-depth-pseudo-labels).
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Published as-is so the exact arrays used in our experiments stay reproducible.
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Depth labels were produced with a **Depth-Anything-V2** teacher over public photo-library
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images (Wikimedia Commons / iNaturalist / Openverse / Pexels / Pixabay / Burst and
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other collections).
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## Layout
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| Path | Content |
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|---|---|
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| `hires1920/cold/` | 148 shards, ~145 GB — current generation (`shard_s0_*.npz`) |
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| `hires1920/oldpool/` | 61 shards, ~60 GB — older generation kept for lineage (`shard_old_s0_*.npz`) |
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| `quota_test.bin` | 1 MB LFS upload-test artifact — ignore |
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Each ~1 GB `.npz` shard is self-contained and holds ~512 samples as object arrays:
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| Array | Content |
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|---|---|
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| `id` | sample identifier |
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| `box` | bounding box / crop metadata |
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| `rgb_jpg` | the source photograph, JPEG bytes |
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| `gt_b2` | depth ground truth, **blosc2-compressed float16**, 1088×1920 |
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```python
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import io, blosc2, numpy as np
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from PIL import Image
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z = np.load("hires1920/cold/shard_s0_00030.npz", allow_pickle=True)
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raw = z["rgb_jpg"][0] # JPEG bytes (object array)
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rgb = np.asarray(Image.open(io.BytesIO(bytes(raw))).convert("RGB"))
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gt = blosc2.decompress2(z["gt_b2"][0].tobytes())
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depth = np.frombuffer(gt, dtype=np.float16).reshape(1088, 1920)
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```
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## Depth semantics
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Depth-Anything raw convention: **larger value = farther, `0` = sky / invalid** (≈30% of
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pixels can be 0). Relative depth only — no metric scale, no intrinsics.
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## License — please read
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Split by component:
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- **Depth arrays (`gt_b2`)** — our own derived outputs → **CC BY 4.0**.
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- **Photographs (`rgb_jpg`)** — third-party images kept **as collected**, mixed licenses
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per source; a large share was collected without a recorded license. **Do not assume
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every photo is redistributable.** Per-sample provenance for the overlapping pipeline
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is in `photo-depth-pseudo-labels/metadata/` (`index.csv`, `attribution.csv`);
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treat this repo's photos as research-use until you check the source.
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**If you are a rights holder and want samples removed, open an issue and they will be
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deleted promptly.**
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## Limitations
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- `oldpool/` is a legacy generation: expect format/quality drift vs `cold/`.
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- `shard_s0_*` naming is an internal convention, not a stable contract; treat shard
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indices as opaque.
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- No per-sample `license` column inside the shards — join against the photo-depth
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metadata for licensing detail.
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