Soccana Player Ball Detection V1: Soccer Object Detection Dataset

A curated subset of 25,000 images from a larger collection of over 1 million soccer images. The dataset was compiled by Adit-jain from multiple open-source sources, including the SoccerNet dataset, video game renders, and match footage, and was last updated on August 28, 2025.

Use Cases

• Train object detection models to identify players based on the dataset's focus on soccer vision.
• Develop ball tracking algorithms using the annotated soccer match footage.
• Benchmark model performance on sports imagery using a curated subset from a large collection.
• Augment training data for sports analytics models with video game renders and real match footage.

Strengths

• Contains 25,000 images, providing a substantial sample for model training.
• Derived from a larger source of over 1 million images, suggesting a broad potential data pool.
• Sourced from multiple origins (SoccerNet, video games, match footage), which may increase diversity.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Multiple open-source sources including SoccerNet dataset, video game renders, and publicly available match footage.

Collection Method

Collected and augmented from the listed sources.

Freshness

Last updated 2025-08-28 11:03:10; freshness should be verified.