Football

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players

Object Detection

players Image Dataset

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Versions
2024-04-11 12:41pm
v22
Apr 11, 2024
2024-04-11 12:26pm
v21
Apr 11, 2024
2024-04-11 6:06am
v20
Apr 11, 2024
2024-04-10 12:26pm
v19
Apr 10, 2024
2024-04-10 8:40am
v18
Apr 10, 2024
2024-04-09 8:21pm
v17
Apr 9, 2024
2024-04-09 12:28pm
v14
Apr 9, 2024
2024-04-09 11:39am
v13
Apr 9, 2024
2024-04-04 6:51pm
v12
Apr 4, 2024
2024-03-24 12:09pm
v11
Mar 24, 2024
2024-03-21 11:44am
v9
Mar 21, 2024
2024-03-20 12:15pm
v8
Mar 20, 2024
2024-03-20 8:17am
v7
Mar 20, 2024
2024-03-20 8:15am
v6
Mar 20, 2024
2024-03-19 2:04pm
v4
Mar 19, 2024
v9

2024-03-21 11:44am

Generated on Mar 21, 2024
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.
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449 Total Images

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Dataset Split

Train Set 91%
408Images
Valid Set 7%
32Images
Test Set 2%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 1% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Crop: 1% Minimum Zoom, 15% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical