Football Player Detection Image Dataset
v3
Version 3 Generated Feb 26, 2022
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
Train / Test Split
Training Set
88
1.5k
images
Validation Set
8
136
images
Testing Set
3
59
images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 5 remapped, 0 dropped
Augmentations
Outputs per training example: 5
Saturation: Between -28% and +28%
Brightness: Between -25% and +25%
Mosaic: Applied
Details
Version Name: v3
Version ID: 3
Generated: Feb 26, 2022
Annotation Group: american-football-players
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