Combined Censor Dataset for Object Detection

Censor Dataset for Object DetectionThis dataset is a composite collection designed for training YOLO (You Only Look Once) object detection models. It combines three distinct datasets from Roboflow 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. --- 📋 Dataset DescriptionThe dataset is structured for use with YOLO. It contains images and annotation files in the standard YOLO `.txt` format. Total Classes: 5Class Names and Indices: [blood, bloodstain, d (from the guns dataset), gun, Rifle]Data Split: - Training Set: 70% of the total images. - Validation Set: 15% of the total images. - Test Set: 15% of the total images.