Ship Dataset with annotations

The Aerial Ship Detection Dataset is a comprehensive collection of high-resolution aerial images featuring ships of various sizes, types, and orientations. Each image is paired with detailed annotations provided in XML format, enabling precise object detection and classification tasks. This dataset is ideal for training and testing machine learning models for maritime surveillance, shipping logistics, and security applications.

Key Features of the Dataset:

1. High-Quality Images:

   • Images are in PNG format with sharp details to capture ships from multiple angles and scales.
   • Designed to meet the needs of computer vision tasks requiring clarity and consistency.

2. XML Annotations in Pascal VOC Format:

   • Each image has a corresponding XML annotation file that provides:
     • File Name: The associated image file name
     • Image Dimensions: Metadata such as height, width, and depth of the image.
     • Object Detection Data:
       • Class: Object classification as “ship” or related sub-categories (e.g., cargo ship, speedboat).
       • Bounding Box: Precise coordinates  identifying the location of ships within the images.

3. Diverse Scenarios and Variability:

   • Images capture ships in different environments, lighting conditions, and weather scenarios, ensuring model robustness.
   • Includes varying distances and angles to simulate real-world maritime conditions.

Dataset Structure:

• Images:

  • Format: PNG
  • Depict ships from diverse perspectives, including top-down aerial views.

• Annotations:

  • Format: XML
  • Follow the industry-standard Pascal VOC annotation format for seamless integration with machine learning frameworks.

Applications of the Dataset:

1. Maritime Surveillance:
   • Improve detection of unauthorized or suspicious vessels.
2. Shipping Logistics:
   • Enhance tracking and identification of commercial shipping fleets.
3. Research & Development:
   • Train deep learning models for object detection, classification, and segmentation.
4. Autonomous Systems:
   • Support AI-driven navigation and monitoring systems for unmanned aerial vehicles (UAVs) or maritime drones.