What is the Common Objects in Battlefield (COBA) dataset?

COBA is a labeled computer vision dataset containing battlefield imagery with object detection annotations and a pre-trained YOLOv5x model for defense and surveillance AI applications.

How can the COBA dataset be used in AI and machine learning?

It supports object detection, scene understanding, threat identification, autonomous surveillance systems, and real-time battlefield analytics using deep learning frameworks such as YOLO and other CNN-based models.

What annotation and labeling options are available?

GTS provides bounding box annotation, segmentation, multi-class labeling, custom ontology creation, and scalable re-annotation services with multi-stage quality control and review workflows.

How does GTS ensure data quality, scalability, and compliance?

All datasets undergo strict quality assurance checks, validation cycles, and secure preprocessing. GTS operates under ISO 9001:2015 and ISO 27001:2013 certifications, supports large-scale projects globally, and ensures secure data handling aligned with international compliance standards.

Can GTS provide custom battlefield or defense datasets?

Yes. GTS offers fully customized image and video data collection, multilingual metadata tagging, global sourcing, and flexible dataset delivery formats tailored to defense, aerospace, and security AI projects.

Common Objects in Battlefield (COBA)

Datasets

File

Common Objects in Battlefield (COBA)

Use Case

Common Objects in Battlefield (COBA)

Description

The COBA dataset offers labeled images for battlefield object detection and includes a pre-trained YOLOv5x model (battlefield_object_detector.pt) for scene understanding.

Description:

The COBA dataset provides labeled images for battlefield object detection and includes a pre-trained YOLOv5x model (battlefield_object_detector.pt) for scene understanding. Ideal for AI-driven military applications and deep learning research in object recognition and analysis.

Download Dataset

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.

Contact Us

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

Common Objects in Battlefield (COBA)