| --- |
| license: other |
| license_name: multi-source-aggregated-terms |
| license_link: LICENSE |
| pretty_name: "Person, Face & Package — Home Security Detection (YOLO)" |
| task_categories: |
| - object-detection |
| tags: |
| - image |
| - object-detection |
| - computer-vision |
| - yolo |
| - ultralytics |
| - bbox |
| - home-security |
| - surveillance |
| - face-detection |
| - parcel-detection |
| - delivery |
| - vehicle-detection |
| - pet-detection |
| - bird-detection |
| annotations_creators: |
| - crowdsourced |
| - found |
| language: |
| - en |
| --- |
| |
| # Person, face & package — home-security detection dataset |
|
|
| YOLO-format dataset for person, face, vehicles, small vehicles, parcels, pets, and birds in home / delivery / street scenes. Full data lives under `bigsplit/`; `sample/` is a 100-image preview subset (same layout: flat `images/` and `labels/`). |
|
|
| Training configs point at a `data.yaml` beside those folders. Both splits use the same class list (`nc` and `names`); only the root path and which image set is packaged differ. Labels are YOLO `.txt` files with one line per box: `class_id x_center y_center width height` (normalized 0–1). |
|
|
| ## `data.yaml` — tags and layout |
|
|
| Class **tags** are the `names` list; order is the YOLO class index (`0` … `nc - 1`). Below is the canonical schema used by `sample/data.yaml` (checked in). The full split uses the same `nc` and `names` in `bigsplit/data.yaml`; `path`, `train`, and `val` resolve to that folder’s `images/` when you train from the dataset root. |
|
|
| **`sample/data.yaml`** |
|
|
| ```yaml |
| # Preview sample (100 images); same layout as bigsplit — no split subfolders. |
| path: . |
| train: images |
| val: images |
| nc: 9 |
| names: |
| - person |
| - face |
| - vehicle |
| - bike |
| - bicycle |
| - parcel |
| - dog |
| - cat |
| - bird |
| ``` |
|
|
| When the full dataset is present, `bigsplit/data.yaml` uses the same `path` / `train` / `val` / `nc` / `names` (often with a file header comment describing the full split instead of the sample). |
|
|
| ## Preview (bounding boxes) |
|
|
| Five PNGs are generated from the checked-in **`sample/`** images and YOLO labels. Each file stitches **three** frames **edge-to-edge** at equal height (**no padding** between panels). Boxes and class names are drawn from the corresponding `sample/labels/*.txt` files. |
|
|
| <p align="center"> |
| <img src="assets/preview_01.png" width="32%" alt="Sample preview 1 — three stitched frames" /> |
| <img src="assets/preview_02.png" width="32%" alt="Sample preview 2 — three stitched frames" /> |
| <img src="assets/preview_03.png" width="32%" alt="Sample preview 3 — three stitched frames" /> |
| </p> |
| <p align="center"> |
| <img src="assets/preview_04.png" width="32%" alt="Sample preview 4 — three stitched frames" /> |
| <img src="assets/preview_05.png" width="32%" alt="Sample preview 5 — three stitched frames" /> |
| </p> |
|
|
| [preview_01.png](assets/preview_01.png) · [preview_02.png](assets/preview_02.png) · [preview_03.png](assets/preview_03.png) · [preview_04.png](assets/preview_04.png) · [preview_05.png](assets/preview_05.png) · [preview_manifest.txt](assets/preview_manifest.txt) (source filenames per composite) |
|
|
| Regenerate after changing `sample/`: |
|
|
| ```bash |
| python3 -m venv .venv # once |
| .venv/bin/pip install pillow pyyaml |
| .venv/bin/python scripts/make_readme_preview.py |
| ``` |
|
|
| ## Layout |
|
|
| - `bigsplit/data.yaml` — class list and paths (`train` / `val` both point at `images/`). |
| - `sample/data.yaml` — same schema for the preview subset. |
|
|
| ## Classes (`nc: 9`) |
|
|
| | id | name | |
| |---:|----------| |
| | 0 | person | |
| | 1 | face | |
| | 2 | vehicle | |
| | 3 | bike | |
| | 4 | bicycle | |
| | 5 | parcel | |
| | 6 | dog | |
| | 7 | cat | |
| | 8 | bird | |
|
|
| ## License |
|
|
| See `LICENSE`. |
|
|
