Fire VN YOLO11-Seg v1: Vietnamese Fire and Smoke Segmentation Images

Vietnamese visual contexts provide the geographic scope for this segmentation dataset. It is intended for training and evaluating YOLO11 segmentation models for early fire and smoke detection. The dataset was created by thanhhoangnvbg and was last updated on 2026-05-18.

Use Cases

• Train segmentation models for early fire detection based on Vietnamese urban alley scenes.
• Evaluate model performance on distant fire and smoke events as described.
• Improve model robustness using hard negative visual distractors mentioned in the description.
• Benchmark segmentation algorithms on normal ambient scenes to reduce false positives.

Strengths

• Dataset is specifically focused on Vietnamese visual contexts.
• It is packaged as a ready-to-train YOLO segmentation zip file.
• Last updated timestamp is 2026-05-18 04:40:54.

Limitations

• Row count, column names, and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict usage.

Provenance

Source

huggingface

Freshness

Last updated 2026-05-18 04:40:54.

Geography

Vietnam