Soccer Players
[object_detection]This dataset contains 163 images of soccer games, including players, referee and ball. The dataset includes 46 1280x720 images and 117 low resolution 389x224 images.
If you'd like to train an Object Detection Model with this dataset, you can follow the step by step guide in our tensorflow-object-detection GitHub repository
The dataset includes 2.003 annotations across the following object classes:
The dataset is annotated in the YOLO annotation format, in which each annotation corresponds to a single line in a text file, with each line representing one object instance. The format for each line is as follows:
<object-class> <x_center> <y_center> <width> <height>
<object-class>
: The integer index representing the object's class based on the order they appear in the classes.txt
file.
<x_center>
, <y_center>
: The normalized coordinates of the center of the bounding box with respect to the width and height of the image. Both <x_center>
and <y_center>
should be in the range [0, 1]. The top-left corner of the image is (0,0), and the bottom-right corner is (1,1).
<width>
, <height>
: The normalized width and height of the bounding box, also relative to the width and height of the image. Both <width>
and <height>
should be in the range [0, 1].
For any questions or issues related to the dataset, please contact contact@amlstation.com
.
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License: CC0 1.0 Public Domain Dedication
This dataset is based on futbol players Computer Vision Project, which is licensed under a CC0 1.0 Public Domain Dedication License.
The following changes were made to the original dataset:
_darknet.labels
files, were placed in classes.txt
;You can find the complete license text at the Creative Commons website: https://creativecommons.org/publicdomain/zero/1.0/
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5 downloads 163 images Uploaded 9 Aug 2023, 1:28 am