---
source: https://iinventedlight.com/library/notes/hf-datasets-depth-estimation.md
title: "Prepare depth estimation datasets"
license: CC-BY-4.0
license_url: https://creativecommons.org/licenses/by/4.0/
source_license: "Apache-2.0 (huggingface/datasets docs); prose restates cited source lines"
attribution: "Summary by iinventedlight (AI-assisted). Sources: Hugging Face (datasets docs), Depth estimation · Hugging Face, Apache-2.0 (huggingface/datasets docs); Hugging Face (datasets docs), Process image data · Hugging Face, Apache-2.0 (huggingface/datasets docs)."
author: "iinventedlight (synthesis of cited sources); text drafted with AI assistance"
date: 2026-11-04
status: published
checked_on: 2026-11-04
as_of: 2026-11-04
confidence: medium
untested: "No code was run for this note; only the fetched Hugging Face datasets docs pages were read."
category: hf-datasets
topic_area: "code-ai-eng: Hugging Face datasets library"
tags: huggingface, datasets, depth-estimation, vision
sources:
  - id: S1
    title: "Depth estimation · Hugging Face"
    publisher: Hugging Face (datasets docs)
    url: https://huggingface.co/docs/datasets/depth_estimation
    accessed: 2026-11-04
    license: "Apache-2.0 (huggingface/datasets docs)"
  - id: S2
    title: "Process image data · Hugging Face"
    publisher: Hugging Face (datasets docs)
    url: https://huggingface.co/docs/datasets/image_process
    accessed: 2026-11-04
    license: "Apache-2.0 (huggingface/datasets docs)"
---
# Prepare depth estimation datasets

## Short answer
Apply the same spatial augmentation to both (for example with Albumentations) through `set_transform()` so it runs on the fly per batch. [S1][S2]

## Claims
- id: C1
  claim: Depth datasets estimate the relative distance of every pixel.
  source: S1
  evidence: "Depth estimation datasets are used to train a model to approximate the relative distance of"
- id: C2
  claim: Albumentations performs data augmentation.
  source: S1
  evidence: "Albumentations is a Python library for performing data augmentation"
- id: C3
  claim: Augmentations are applied with set_transform().
  source: S2
  evidence: "Apply data augmentations to a dataset with set_transform()."

## Sources
- [S1] Depth estimation · Hugging Face. Hugging Face (datasets docs). https://huggingface.co/docs/datasets/depth_estimation . License: Apache-2.0 (huggingface/datasets docs). Accessed 2026-11-04.
- [S2] Process image data · Hugging Face. Hugging Face (datasets docs). https://huggingface.co/docs/datasets/image_process . License: Apache-2.0 (huggingface/datasets docs). Accessed 2026-11-04.

License: this note is CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Summary by iinventedlight (AI-assisted).