| --- |
| pretty_name: FireSafetyDataset Catalog |
| task_categories: |
| - object-detection |
| tags: |
| - fire |
| - smoke |
| - spark |
| - ember |
| - alarm |
| - hard-negative |
| --- |
| |
| # FireSafetyDataset catalog |
|
|
| This repository is a source catalog for a YOLO fire early-warning dataset. It contains no |
| training images. Source datasets remain independent until license review, label mapping, |
| deduplication and scene-leakage checks are complete. |
|
|
| ## fire |
|
|
| Subcategories: `indoor`, `outdoor`, `forest`, `vehicle`. |
|
|
| - [firesafety-wildfire](https://huggingface.co/datasets/baizhanquan/firesafety-wildfire): |
| `forest`; Apache-2.0; verified upstream labels are `0=smoke, 1=fire`. |
| - [firesafety-fire-smoke](https://huggingface.co/datasets/baizhanquan/firesafety-fire-smoke): |
| mixed fire scenes; Apache-2.0; upstream labels are `0=fire, 1=smoke`. |
| - [fog_fire_detection bucket](https://huggingface.co/buckets/baizhanquan/fog_fire_detection-bucket): |
| generic fire/smoke archive; `Fire` includes flames and embers, but there is no separate |
| ember label. Its 40,900 images have passed basic local QA and detection normalization. |
| Dataset metadata declares CC BY 4.0 while the README also mentions MIT, so release use |
| remains blocked pending license clarification. |
|
|
| ## smoke |
|
|
| Subcategories: `white_smoke`, `gray_smoke`, `black_smoke`. |
|
|
| - [firesafety-smoke-rf100](https://huggingface.co/datasets/baizhanquan/firesafety-smoke-rf100): |
| CC BY 4.0; YOLO segmentation polygons; smoke color subtype is not verified. |
| - [firesafety-wildfire](https://huggingface.co/datasets/baizhanquan/firesafety-wildfire): |
| wildfire smoke; color subtype is not verified. |
| - [firesafety-fire-smoke](https://huggingface.co/datasets/baizhanquan/firesafety-fire-smoke): |
| mixed smoke scenes; color subtype is not verified. |
| - [fog_fire_detection bucket](https://huggingface.co/buckets/baizhanquan/fog_fire_detection-bucket): |
| 40,900-image generic fire/smoke source; color subtype is not verified and the license |
| requires clarification. |
|
|
| ## spark |
|
|
| Subcategories: `welding`, `grinding`, `electrical`. |
|
|
| No verified object-detection dataset has been accepted yet. Search terms should use |
| `welding sparks`, `grinding sparks` and `electrical arc sparks` rather than only `spark`. |
|
|
| ## ember |
|
|
| Subcategories: `wildfire`, `campfire`. |
|
|
| No verified dataset has been accepted yet. Candidate searches should include `embers`, |
| `firebrands` and explicit flame-plus-ember label definitions. The Bucket's `Fire` label |
| includes embers, so it cannot train a separate ember class. |
|
|
| ## alarm |
|
|
| Subcategories: `warning_light`, `smoke_detector`, `fire_alarm`. |
|
|
| No verified object-detection dataset has been accepted yet. |
|
|
| ## negative |
|
|
| Subcategories: `cloud`, `fog`, `steam`, `sunset`, `lighting`, `exhaust`. |
|
|
| No verified hard-negative dataset has been accepted yet. The word `fog` in the Bucket name |
| does not describe a negative class; its `data.yaml` defines only `Fire` and `Smoke`. |
|
|
| Negative images are normally no-box training samples, not an additional YOLO class. The |
| current project-wide detector label standard remains `0=fire, 1=smoke`; any expansion to |
| spark, ember or alarm must be versioned as a separate label schema. |
|
|
| Machine-readable source revisions, mappings and coverage status are recorded in |
| [`catalog.yaml`](./catalog.yaml). |
|
|
