Combined Censor Dataset for Object Detection

<b>Censor Dataset for Object Detection</b>This dataset is a composite collection designed for training YOLO (You Only Look Once) object detection models. It combines three distinct datasets from <b>Roboflow</b> to create a unified resource for detecting blood stains, firearms (including guns and rifles), and other objects in images.This dataset was created by merging and re-splitting the following sources to ensure a balanced and diverse training environment.<br><br>---📋 <b>Dataset Description</b>The dataset is structured for use with YOLO. It contains images and annotation files in the standard YOLO `.txt` format.<br><br><b>Total </b><b>Classes</b>: 5<b>Class Names and Indices</b>: [blood, bloodstain, d <i>(from the guns dataset), </i>gun<i>, </i>Rifle]<b>Data Split</b>:<br>- <b>Training Set</b>: 70% of the total images.<br><i>- </i><b>Validation Set</b>: 15% of the total images.<br>- <b>Test Set</b>: 15% of the total images.<br>