Dataset Versions

v1

2024-02-09 7:08pm

Generated on Feb 9, 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 83%
1320Images
Valid Set 12%
188Images
Test Set 6%
92Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 300x300
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%

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