metadata

task_categories:
  - object-detection
language:
  - en
tags:
  - soccer
  - football
  - player
  - referee
  - detection
  - ball
  - ultralytics
  - yolov11
  - tracking
pretty_name: Soccana_prb_v1
size_categories:
  - 10K<n<100K

⚽ Soccer Object Detection Dataset (25K Subset from 1M+ Images)

This dataset is a curated subset (25,000 images) from a larger soccer vision dataset containing over 1 million images (50+ GB). The data was collected and augmented from multiple open-source sources, including the SoccerNet dataset, video game renders, and publicly available match footage.

It is optimized for object detection tasks, especially focusing on soccer-related entities such as players, referees, and the ball, including various augmentation types like background-only and noisy scenes.

📁 Dataset Structure

✅ 25,000 images (~1.5GB)
✅ Annotations for 3 object classes:
- player
- referee
- ball
✅ Data format:
- Ultralytics YOLO format (default)
- COCO JSON format (included in separate folders)
✅ Resolution variety:
- 160x160, 320x320, 640x640, and 1280x1080 (Full HD)
✅ Includes:
- Sliced images via SAHI (Slicing Aided Hyper Inference)
- Background-only images
- Multi-angle player views
- Noisy and occluded samples for robustness

🗂️ Folder Structure

V1/
├── images/
│ ├── train/
│ └── test/
├── labels/ # YOLO TXT labels
│ ├── train/
│ └── test/
├── coco_test_annotations/ # COCO format labels (train.json, val.json)
├── coco_train_annotations/ # COCO format labels (train.json, val.json)
├── data.yaml # Ultralytics YOLOv8-compatible YAML
└── samples/ # Dataset samples

🧠 Dataset Origin & Processing

Collected from:
- SoccerNet
- Public match footage
- Game engine data (e.g., FIFA-style renders)
Augmented with:
- SAHI for image slicing
- Inclusion of background-only and noisy images to reduce false positives and improve generalization
- Crops and resizes for multi-resolution model training

📦 How to Use

Can find detailed guide at github

Classes

Class ID	Label
0	Player
1	Referee
2	Ball

Datasets:

Adit-jain
/

Soccana_player_ball_detection_v1