The PPE_DATASET_COCO is a comprehensive dataset designed for the detection of Personal Protective Equipment (PPE) in various workplace environments. Structured in the widely used COCO JSON format, this dataset contains images annotated with bounding boxes for various PPE items, such as helmets, gloves, goggles, face shields, and safety vests. Ideal for training and evaluating object detection models, it enables the development of AI systems that can automatically monitor workplace safety compliance in real-time.

Key Features:

Annotations in COCO JSON format for easy integration into object detection workflows.

Multiple types of PPE labeled across diverse work environments.

Designed to assist in developing models for enhancing workplace safety and ensuring PPE usage.

Well-suited for deep learning models and computer vision research.

This dataset provides the foundational resources needed for creating safety-focused AI systems aimed at improving industrial safety, reducing accidents, and ensuring proper safety gear is worn.

This dataset includes 1000 images of women's dresses along with their bounding box annotations. The images are sourced from diverse environments and angles, making it an ideal dataset for developing object detection models. Each image has been manually labeled with bounding boxes that adhere to the COCO standard. Annotations are stored in a single JSON file, facilitating easy integration with machine learning frameworks like YOLO, Faster R-CNN, or RetinaNet.

Key Features: - Images: 1000 high-quality images of women’s dresses. - Annotations: Bounding boxes in COCO format. - File Structure: - /images/: Contains the 1000 images. - _annotations.coco.json: COCO annotations file.

This dataset is useful for researchers and developers working on object detection, fashion item recognition, and computer vision tasks in the fashion domain.

Usage: The dataset can be used for training and testing object detection models. Example usage includes:

• Training YOLOv5 to detect women's dresses.
• Developing models to identify dresses from various angles and backgrounds.
• Fine-tuning pretrained models on fashion detection tasks.

Tags: - Object Detection - COCO - Fashion AI - Bounding Boxes - Computer Vision