Dataset Versions

v1

2024-07-04 6:13pm

Generated on Jul 4, 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 91%
1158Images
Valid Set 5%
66Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.7px

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