Dataset Versions

v1

2024-03-02 6:32pm

Generated on Mar 2, 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 85%
1323Images
Valid Set 12%
180Images
Test Set 3%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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