Dataset Versions

v1

2024-11-11 3:35pm

Generated on Nov 11, 2024

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 92%
3576Images
Valid Set 5%
196Images
Test Set 3%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: ball
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Exposure: Between -10% and +10%

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