version: 1.0.0
license: cc-by-nc-4.0
task_categories:
- image-classification
- video-classification
language:
- en
tags:
- camera-detection
- shot-scale
- camera-angle
- cinematography
- broadcast
- sports
- soccer
- computer-vision
- infactory
annotations_creators:
- machine-generated
- expert-generated
pretty_name: Soccer Camera Detection Dataset
size_categories:
- 1K<n<10K
Soccer Camera Detection Dataset
A curated dataset for classifying camera characteristics in broadcast soccer video, annotated with 9-class shot scale (CineScale-aligned) and 5-class camera angle (CineScale2-aligned).
Shot Scale Examples
Left: MCU Medium Close-Up — head & shoulders | Center: LS Long Shot — full body | Right: ELS Extreme Long Shot — wide pitch view
Camera Angle Examples
Left: HIGH High Angle — elevated broadcast camera | Center: NEU Neutral — pitch-level eye height | Right: LOW Low Angle — camera below subject
Dataset Description
This public sample consists of 650 frames extracted from 10 video clips of professional soccer broadcasts spanning 2013–2025. Each frame is annotated across two orthogonal dimensions:
- Shot Scale — how much of the subject is visible (9 classes from Extreme Close-Up to Extreme Long Shot)
- Camera Angle — the vertical orientation of the camera relative to the subject (5 classes from Overhead to Low Angle)
This is a representative sample of a larger dataset available for licensing. The full dataset covers hundreds of matches across multiple seasons and broadcast conditions — suitable for model training, fine-tuning, and research. Contact hello@infactory.ai for licensing details.
Shot Scale Distribution
| Class | Frames | % |
|---|---|---|
| MLS | 167 | 25.7% |
| ELS | 159 | 24.5% |
| LS | 118 | 18.2% |
| MS | 85 | 13.1% |
| MCU | 50 | 7.7% |
| FS | 43 | 6.6% |
| IS | 14 | 2.2% |
| CU | 8 | 1.2% |
| ECU | 6 | 0.9% |
Camera Angle Distribution
| Class | Frames | % |
|---|---|---|
| NEU | 369 | 56.8% |
| HIGH | 252 | 38.8% |
| LOW | 29 | 4.5% |
Source Data
- Domain: Professional Soccer Broadcasts (Serie A via Infront Italy)
- Resolution: 1280×720 (720p)
- Annotation Style: Per-frame JSON
- Labeling Method: Proprietary model + human verification (100% verified)
Dataset Structure
infactory-ai/camera-detection/
├── README.md
├── metadata.csv
├── dataset_info.json
├── taxonomy/
│ ├── shot_scale.json
│ ├── camera_angle.json
│ └── mappings.json
├── schema/
│ └── annotation_schema.json
└── data/
└── frames/
└── {uuid}_{frame_number}.jpg
Metadata Fields (metadata.csv)
| Field | Type | Description |
|---|---|---|
frame_id |
string | Unique frame identifier (UUID) |
source_video_id |
string | UUID of the source video clip |
frame_number |
int | Frame index in the source clip |
timestamp_sec |
float | Timestamp in seconds |
shot_scale |
string | Shot scale label (ECU, CU, MCU, MS, MLS, LS, ELS, FS, IS) |
shot_scale_code |
int | Numeric code (0–8) |
camera_angle |
string | Camera angle label (OVH, HIGH, NEU, LOW, DUTCH) |
camera_angle_additional |
string | Additional angle labels if multi-label (pipe-separated) |
subject_type |
string | Primary subject type |
camera_position |
string | Physical camera position |
confidence |
float | Model confidence before human verification |
human_verified |
bool | All frames are human-verified |
Usage
Loading with Hugging Face Datasets
from datasets import load_dataset
dataset = load_dataset("infactory-ai/camera-detection")
Loading with pandas
import pandas as pd
df = pd.read_csv("metadata.csv")
print(df["shot_scale"].value_counts())
print(df["camera_angle"].value_counts())
Team
| Name | Role |
|---|---|
| Valentino Constantinou | Head of Infrastructure |
| John Kanalakis | Chief Technology Officer |
License
This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
Under the following terms:
- Attribution — You must give appropriate credit to Infactory, provide a link to the license, and indicate if changes were made.
- Non-Commercial — You may not use the material for commercial purposes without a separate commercial license from Infactory.
Commercial licensing: For commercial use, contact hello@infactory.ai.
Citation
@dataset{camera_detection_2026,
title={Soccer Camera Detection Dataset},
author={Constantinou, Valentino and Kanalakis, John},
year={2026},
publisher={Infactory},
url={https://huggingface.co/datasets/infactory-ai/camera-detection},
note={Per-frame camera characterization: 9-class shot scale (CineScale-aligned), 5-class camera angle (CineScale2-aligned)}
}