---
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: width
    dtype: int64
  - name: height
    dtype: int64
  - name: objects
    struct:
    - name: bbox
      list:
        list: float32
        length: 4
    - name: category
      list:
        class_label:
          names:
            '0': GUN
            '1': KNIFE
            '2': PERSON
  splits:
  - name: train
    num_bytes: 302529532.579
    num_examples: 4291
  - name: validation
    num_bytes: 55386520.228
    num_examples: 1029
  - name: test
    num_bytes: 91500563.04
    num_examples: 2295
  download_size: 444071476
  dataset_size: 449416615.847
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: apache-2.0
task_categories:
- image-classification
language:
- en
size_categories:
- 1K<n<10K
---


# Cleaned and Consolidated Weapon Detection Dataset
This dataset is a cleaned, consolidated, and training-ready version of the [`Subh775/WeaponDetection`](https://huggingface.co/datasets/Subh775/WeaponDetection) dataset. The original 29 ambiguous and redundant classes have been merged into 3 distinct, high-level categories: `GUN`, `KNIFE`, and `PERSON`.

This cleaning process makes the dataset significantly more effective for training robust object detection models by removing label ambiguity and creating stronger class definitions. Images that contained no objects belonging to these three final categories have been removed.

# Original Source
This dataset is a derivative work based on the weapon-detection Object Detection Model, originally created and shared by yolov7test on Roboflow Universe. The initial Hugging Face version was `Subh775/WeaponDetection`. 

## Class Consolidation Details

The original 29 classes were mapped to the new 3 classes as follows:

`GUN`: [Guns, Guns perspective, Heavy Gun, Long guns, Pistol, Rifle, Shotgun, guns, handgun, heavyweapon, pistol, pistols, rifle, shotgun, weapon]

`KNIFE`: [Knife, Knife_Deploy, Knife_Weapon, Stabbing]

`PERSON`: [Person, Aggressor, Hand, Victim, person]

Note: Any classes from the original dataset not listed above (e.g., Blood, violence, larga, etc) have been discarded during the cleaning process.

The dataset is now more robust to the title: Weapon or Threat detection, and can be used to train detection models accordingly.

Citation
If you use this dataset in your work, please cite the original creator.

```bibtex
@misc{yolov7test_weapon_detection,
    title={Weapon Detection Object Detection Model},
    author={yolov7test},
    howpublished={\url{[https://universe.roboflow.com/yolov7test-pdxwq/weapon-detection-m7tpo](https://universe.roboflow.com/yolov7test-pdxwq/weapon-detection-m7tpo)}},
    year={2022}
}
```