Arty

Footballers

Object Detection

Footballers Image Dataset

v1

2023-12-09 12:55pm

Generated on Dec 9, 2023

Popular Download Formats

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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Dataset Split

Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±15° Horizontal, ±32° Vertical
Grayscale: Apply to 8% of images
Saturation: Between -25% and +25%
Brightness: Between -9% and +9%
Exposure: Between -10% and +10%
Cutout: 1 boxes with 5% size each
Bounding Box: Flip: Horizontal