Datasets:

androidli
/

hires1920-depth-backup

task_categories:
  - depth-estimation
  - image-to-image
tags:
  - depth
  - pseudo-labels
  - monocular-depth
  - depth-anything-v2
  - high-resolution

hires1920 Depth Backup

Cold backup of high-resolution (1920×1088) monocular depth pseudo-labels with their source photographs — the high-res counterpart of the pipeline behind androidli/photo-depth-pseudo-labels. Published as-is so the exact arrays used in our experiments stay reproducible.

Depth labels were produced with a Depth-Anything-V2 teacher over public photo-library images (Wikimedia Commons / iNaturalist / Openverse / Pexels / Pixabay / Burst and other collections).

Layout

Path	Content
`hires1920/cold/`	148 shards, ~145 GB — current generation (`shard_s0_*.npz`)
`hires1920/oldpool/`	61 shards, ~60 GB — older generation kept for lineage (`shard_old_s0_*.npz`)
`quota_test.bin`	1 MB LFS upload-test artifact — ignore

Each ~1 GB .npz shard is self-contained and holds ~512 samples as object arrays:

Array	Content
`id`	sample identifier
`box`	bounding box / crop metadata
`rgb_jpg`	the source photograph, JPEG bytes
`gt_b2`	depth ground truth, blosc2-compressed float16, 1088×1920

import io, blosc2, numpy as np
from PIL import Image
z = np.load("hires1920/cold/shard_s0_00030.npz", allow_pickle=True)
raw = z["rgb_jpg"][0]                                  # JPEG bytes (object array)
rgb = np.asarray(Image.open(io.BytesIO(bytes(raw))).convert("RGB"))
gt = blosc2.decompress2(z["gt_b2"][0].tobytes())
depth = np.frombuffer(gt, dtype=np.float16).reshape(1088, 1920)

Depth semantics

Depth-Anything raw convention: larger value = farther, 0 = sky / invalid (≈30% of pixels can be 0). Relative depth only — no metric scale, no intrinsics.

Licensing

No formal license is attached to this repository — it is published as-is, for research reproducibility only. What the components are, so you can judge reuse yourself:

Depth arrays (gt_b2) — our own model outputs, produced with a Depth-Anything-V2 teacher over the photos below.
Photographs (rgb_jpg) — third-party images kept as collected, mixed licenses per source, a large share collected without a recorded license. Do not assume every photo is redistributable. Per-sample provenance for the overlapping pipeline is in photo-depth-pseudo-labels/metadata/ (index.csv, attribution.csv); check there before re-sharing any bundled image.

If you want to reuse this data beyond research, or you are a rights holder and want samples removed, open an issue on this repo and we'll sort it out promptly.

Limitations

oldpool/ is a legacy generation: expect format/quality drift vs cold/.
shard_s0_* naming is an internal convention, not a stable contract; treat shard indices as opaque.
No per-sample license column inside the shards — join against the photo-depth metadata for licensing detail.