Cropped Dartboard Images for Object Detection

A curated collection of cropped dartboard images intended for computer vision tasks like detection, recognition, and localization. The dataset is organized by capture sessions and dates, created by bhabha-kapil for AI projects built with Rust and PyTorch. It was last updated in April 2026.

Use Cases

• Train object detection models to locate dartboards using the cropped image data.
• Benchmark model performance on dartboard recognition tasks across different capture sessions.
• Develop localization algorithms using the session and date-organized image folders for temporal analysis.

Strengths

• Dataset contains over 100,000 images as indicated by the platform tag '100 K'.
• Images are pre-cropped to focus on the dartboard, simplifying initial data preparation.

Limitations

• Specific row count, image dimensions, and class distribution details are unknown.
• Geographic origin and diversity of the image capture environment are not specified.

Provenance

Source

huggingface.co/datasets/bhabha-kapil/Dartboard-Detection-Dataset

Collection Method

Curated from capture sessions organized by date; specific gathering method unknown.

Freshness

Last updated in April 2026.