Football Image Dataset
Versions
2023-08-21 5:30pm
v11
· 10 months ago
2023-08-21 2:03pm
v10
· 10 months ago
2023-08-21 12:51pm
v9
· 10 months ago
2023-08-21 12:50pm
v8
· 10 months ago
2023-08-20 4:38pm
v7
· 10 months ago
2023-08-19 7:10pm
v6
· 10 months ago
2023-08-19 2:55pm
v5
· 10 months ago
2023-08-18 10:36am
v4
· 10 months ago
2023-08-18 10:19am
v2
· 10 months ago
v11
2023-08-21 5:30pm
Generated on Aug 21, 2023
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.
1512 Total Images
View All Images
Dataset Split
Train Set 87%
1320Images
Valid Set 8%
128Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 10% of pixels
Cutout: 4 boxes with 7% size each
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