Random Superimposed Circles Dataset

Dataset Composition:

• Images: A collection of high-quality landscape images from the public domain.
• Annotations: Each image contains a single circle superimposed at a random location.

Label Format:

• The labels for each image are provided in a straightforward text format.
• Line 1: x-coordinate of the circle’s center (in pixels, integer value).
• Line 2: y-coordinate of the circle’s center (in pixels, integer value).
• Line 3: Radius of the circle (in pixels, integer value).

Usage: This dataset is ideal for training and testing neural networks focused on object detection tasks, specifically for identifying circular shapes. The provided labels enable precise training, allowing models to learn how to detect and size circles accurately.

Potential Applications:

• Object detection model training.
• Computer vision research and development.
• Educational purposes for learning object detection techniques.

Key Challenge: Developing a neural network that can accurately determine the position (x, y) and radius of the circles in the images, testing the model’s precision and robustness.