Urban and Rural Scene Image Dataset

 Dataset Overview

• Image Source: Google Image search (public domain images).
• Aspect Ratio: 1:1 (square format for uniform processing).
• Categories: Urban and Rural landscapes.
• Dataset Size:
  • Training Data: 36 images per category (urban and rural).
  • Validation Data: 10 images per category.
• Labels: Defined by the directory name of each image file.

Advantages of This Dataset

• Ideal for Image Processing & AI Research – Train and evaluate models on structured visual data.
• Pre-Categorized Images – Simplifies supervised learning and classification tasks.
• Balanced Dataset – Equal distribution of urban and rural images for unbiased training.
• Versatile Applications – Useful for image segmentation, object detection, scene classification, and AI-driven geographic analysis.
• Open-Source & Ready to Use – No licensing restrictions for research and experimentation.

Applications of the Image Dataset

• Train machine learning models for distinguishing urban vs. rural environments.
• Improve scene recognition algorithms in AI-powered surveillance and smart city planning.
• Enhance computer vision projects related to geographic and environmental studies.
• Develop AI models for automatic tagging and content moderation of images.

Start Exploring Today!

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This dataset is sourced from Kaggle.