futbol players Computer Vision Project
Computer VIsion
Updated 3 months ago
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Description
Background Information
This dataset was curated and annotated by Ilyes Talbi, Head of La revue IA, a French publication focused on stories of machine learning applications.
Main objetive is to identify if soccer (futbol) players, the referree and the soccer ball (futbol).
The original custom dataset (v1) is composed of 163 images.
- Class 0 = players
- Class 1 = referree
- Class 2 = soccer ball (or futbol)
The dataset is available under the Public License.
Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
Dataset Versions
Version 7 (v7) - 163 images (raw images)
- Preprocessing: Auto-Orient, Modify Classes: 3 remapped, 0 dropped
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Augmentations: No augmentations applied
- Training Metrics: This version of the dataset was not trained
Version 2 (v2) - 163 images
- Preprocessing: Auto-Orient and Resize (Stretch to 416x416)
- Augmentations: No augmentations applied
- Training Metrics: This version of the dataset was not trained
Version 3 (v3) - 391 images
- Preprocessing: Auto-Orient and Resize (Stretch to 416x416), Modify Classes: 3 remapped, 0 dropped
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Augmentations:
- Outputs per training example: 3
- Rotation: Between -25° and +25°
- Shear: ±15° Horizontal, ±15° Vertical
- Brightness: Between -25% and +25%
- Blur: Up to 0.75px
- Noise: Up to 1% of pixels
- Bounding Box: Blur: Up to 0.5px
- Training Metrics: 86.4%mAP, 51.8% precision, 90.4% recall
Version 4 (v4) - 391 images
- Preprocessing: Auto-Orient and Resize (Stretch to 416x416), Modify Classes: 3 remapped, 0 dropped
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Augmentations:
- Outputs per training example: 3
- Rotation: Between -25° and +25°
- Shear: ±15° Horizontal, ±15° Vertical
- Brightness: Between -25% and +25%
- Blur: Up to 0.75px
- Noise: Up to 1% of pixels
- Bounding Box: Blur: Up to 0.5px
- Training Metrics: 84.6% mAP, 52.3% precision, 85.3% recall
Version 5 (v5) - 391 images
- Preprocessing: Auto-Orient and Resize (Stretch to 416x416), Modify Classes: 3 remapped, 2 dropped
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Only Class 0, which was remapped to players was included in this version
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Augmentations:
- Outputs per training example: 3
- Rotation: Between -25° and +25°
- Shear: ±15° Horizontal, ±15° Vertical
- Brightness: Between -25% and +25%
- Blur: Up to 0.75px
- Noise: Up to 1% of pixels
- Bounding Box: Blur: Up to 0.5px
- Training Metrics: Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow
- 98.8%mAP, 76.3% precision, 99.2% recall
Version 6 (v6) - 391 images
- Preprocessing: Auto-Orient and Resize (Stretch to 416x416), Modify Classes: 3 remapped, 2 dropped
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Only Class 0, which was remapped to players was included in this version
- Modified Classes: Class 0 = players, Class 1 = referree, Class 2 = futbol
- Augmentations:
- Outputs per training example: 3
- Rotation: Between -25° and +25°
- Shear: ±15° Horizontal, ±15° Vertical
- Brightness: Between -25% and +25%
- Blur: Up to 0.75px
- Noise: Up to 1% of pixels
- Bounding Box: Blur: Up to 0.5px
- Training Metrics: Trained from Scratch (no transfer learning employed)
- 95.5%mAP, 67.8% precision, 95.5% recall
Ilyes Talbi - LinkedIn | La revue IA
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Cite This Project
LICENSE
Public Domain If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
futbol-players-xar6b_dataset,
title = { futbol players Dataset },
type = { Open Source Dataset },
author = { Computer VIsion },
howpublished = { \url{ https://universe.roboflow.com/computer-vision-rnt2w/futbol-players-xar6b } },
url = { https://universe.roboflow.com/computer-vision-rnt2w/futbol-players-xar6b },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { mar },
note = { visited on 2025-06-21 },
}