This dataset provides high-quality aerial and ground-level image data of formal and informal housing across Bulawayo Metropolitan Province. Captured using advanced drones, digital cameras, and smartphones, it offers a valuable resource for machine learning, computer vision, and urban analysis applications.
Dataset Features:
- Comprehensive Image Data – Includes a diverse collection of images showcasing different housing structures.
- Optimized for YOLO & CNN Models – The dataset comes with pre-annotated labels in YOLO-compatible text files, making it ideal for object detection and classification tasks.
- Annotated with LabelImg – Ensuring high-quality labeling for accurate model training.
- Structured for Machine Learning – Divided into training and validation sets, allowing seamless integration into deep learning workflows.
Applications:
- Urban Planning & Development
- Satellite & Aerial Image Analysis
- Smart City Research
- AI-Powered Object Detection
This dataset is sourced from Kaggle.