YOLO Fire Smoke Knife Weapon: Annotated Images for Object Detection
Available on 1 platform
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Description
An image dataset for training object detection models, likely containing annotated instances of fire, smoke, knives, and weapons. The dataset is hosted on Kaggle, but its specific size, source, and creation date are unknown. The author and organization responsible for its collection are also not specified.
Use Cases
Train a YOLO-based model to detect hazardous objects like knives and weapons (inferred from domain, verify after download)
Develop a monitoring system for fire and smoke detection in video feeds (inferred from domain, verify after download)
Benchmark object detection performance on a multi-class safety-related dataset (inferred from domain, verify after download)
Strengths
Published on Kaggle, a platform with established data sharing and versioning tools.
The title suggests a focused collection for a specific computer vision task.
Limitations
Metadata is minimal; actual content, size, and annotation quality require verification after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license are unknown, which may limit suitability assessment.
Provenance
Source
Kaggle
Collection Method
Unknown
Time Range
Unknown
Freshness
Last updated date is unknown; freshness unverified.
Geography
Unknown
License is unknown; users must verify terms of use before applying the data.