Dataset Versions

v4

320a

Generated on Aug 8, 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.
Other Formats
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Dataset Split

Train Set 88%
1566Images
Valid Set 8%
147Images
Test Set 4%
75Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x160

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±13° Horizontal, ±8° Vertical
Hue: Between -11° and +11°
Saturation: Between -22% and +22%
Brightness: Between -21% and +21%
Exposure: Between -11% and +11%
Mosaic: Applied