Football Image Dataset
Versions
2022-11-24 12:51pm
v9
Nov 24, 2022
2022-11-24 2:18am
v8
Nov 23, 2022
2022-11-23 8:46pm
v7
Nov 23, 2022
2022-11-23 12:10am
v6
Nov 22, 2022
2022-11-23 12:05am
v5
Nov 22, 2022
2022-11-22 6:16pm
v4
Nov 22, 2022
2022-11-22 6:12pm
v3
Nov 22, 2022
2022-11-21 5:54pm
v2
Nov 21, 2022
2022-11-21 3:31pm
v1
Nov 21, 2022
v9
2022-11-24 12:51pm
Generated on Nov 24, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
427 Total Images
View All Images
Dataset Split
Train Set 88%
375Images
Valid Set 8%
35Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 15% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px
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