baizhanquan/FireSafetyDataset-catalog

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: forest; Apache-2.0; verified upstream labels are 0=smoke, 1=fire.
• firesafety-fire-smoke: mixed fire scenes; Apache-2.0; upstream labels are 0=fire, 1=smoke.
• 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: CC BY 4.0; YOLO segmentation polygons; smoke color subtype is not verified.
• firesafety-wildfire: wildfire smoke; color subtype is not verified.
• firesafety-fire-smoke: mixed smoke scenes; color subtype is not verified.
• 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.