Duplicate from Subh775/WeaponDetection_Grouped

Co-authored-by: Subhansh Malviya <Subh775@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+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}
+}
+```

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