| --- |
| license: apache-2.0 |
| task_categories: |
| - object-detection |
| tags: |
| - multi-domain |
| --- |
| # Multi-Domain Perception Dataset |
|
|
| Unlabeled raw image dataset organized across domain environments, perspectives, and source origins. Designed for downstream annotation (e.g., Label Studio) and computer vision pipelines. |
|
|
| ## Repository Structure |
|
|
| Data files are organized cleanly by domain, provenance type, and collection date to prevent naming collisions and facilitate subset loading: |
|
|
| ```text |
| data/ |
| ├── <domain>/ |
| │ └── <source_type>/ |
| │ └── <date_collected>/ |
| │ └── <raw_data_files> |
| └── metadata.jsonl |
| ``` |
|
|
| ### Dataset Schema (`metadata.jsonl`) |
|
|
| Each line in `metadata.jsonl` tracks individual file paths alongside collection provenance: |
|
|
| ```json |
| { |
| "file_name": "data/underwater/real_world/2026-08-19/camera_front/frame_0001.webp", |
| "metadata": { |
| "author": "Collector Name", |
| "domain": "Underwater", |
| "perspective": "Planar", |
| "date_collected": "2026-08-19", |
| "notes": "Field trial under ambient light", |
| "md5": "e99a18c428cb38d5f260853678922e03", |
| "provenance": { |
| "type": "real_world", |
| "platform": "sensor_rig" |
| } |
| } |
| } |
| ``` |
|
|
| ## Supported Fields |
|
|
| * **Domain:** `Surface`, `Ground`, `Underwater`, `Aerial`, `Other` |
| * **Perspective:** `Horizon (Looking to fore/aft/sides)`, `Nadir (Looking down)`, `Zenith (Looking up)`, `Not Applicable` |
| * **Source Type:** `real_world`, `synthetic`, `simulated` |
|
|
| ## Usage with Hugging Face `datasets` |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load full dataset with metadata features |
| ds = load_dataset("username/repo-name") |
| |
| # Filter for real-world underwater data |
| underwater_real = ds.filter( |
| lambda x: x["metadata"]["domain"] == "Underwater" |
| and x["metadata"]["provenance"]["type"] == "real_world" |
| ) |
| ``` |
