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ExposureEngine: Oriented Logo Detection & Sponsor Visibility Analytics (Dataset)

Rotation-aware OBB annotations for sponsor logos in professional soccer broadcasts — built for sports analytics, YOLO OBB training, and sponsorship measurement.

Oriented Bounding Boxes Sports Broadcasts Sponsorship Analytics YOLOv8/YOLOv11 OBB Brand Visibility

ExposureEngine provides high-quality oriented bounding box (OBB) polygon annotations of sponsor logos from professional soccer footage to enable accurate sponsor visibility measurement, logo tracking, and rotation-aware detection.

📂 Dataset Overview

  • Source: 97 broadcast highlight clips from the 2024 Swedish Elite Soccer League
  • Frames: 1,103 curated frames (sampled at 1 FPS)
  • Annotations: 670 unique sponsor logos with OBB polygon coordinates (YOLO format)
  • Coverage: 32 matches · 16 teams · diverse events: Goals, Shots, Yellow Cards, Offsides, Substitutions
  • Splits: Train / Validation / Test = 80 / 10 / 10

🔍 Why Oriented Bounding Boxes?

OBB captures rotation, skew, and perspective — common in sports due to dynamic camera angles, jersey folds, and slanted boards. This improves coverage accuracy and downstream analytics over traditional HBB.

🚀 Applications

  • Sports sponsorship analytics & reporting
  • YOLO-based OBB training & benchmarking
  • Brand visibility measurement in broadcasts
  • Content adaptation for social media & OTT

⚡ Quick Start (🤗 Datasets)

from datasets import load_dataset

dataset = load_dataset("SimulaMet-HOST/ExposureEngine") print(dataset)

Each label file contains four-corner polygon coordinates per logo in YOLO OBB format.

📄 Citation

If you use this dataset, please cite:

ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts.

📬 Contact

Email: [email protected]

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