Common Objects in Battlefield (COBA)

The COBA dataset is a specialized resource designed to support research in battlefield object detection and scene understanding. Packed in the COBA.zip file, this dataset comes with labeled data for detecting various battlefield objects and is paired with a pre-trained YOLOv5x model (battlefield_object_detector.pt) to facilitate quick integration for detection tasks.

Key Features of the COBA Dataset

• COBA.zip File: Contains the complete dataset with images, annotations, and necessary resources for battlefield object detection.
• Pre-Trained YOLOv5x Model: Includes a ready-to-use YOLOv5x model (battlefield_object_detector.pt) optimized for battlefield object recognition.
• Scene Understanding Focus: Geared toward improving AI-driven scene understanding in military and battlefield environments.
• High-Quality Annotations: Annotated with the correct labels, allowing seamless integration into deep learning models.

This dataset is sourced from Kaggle.