Dataset Versions

v2

2023-08-14 12:21pm

Generated on Aug 14, 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 92%
2574Images
Valid Set 5%
143Images
Test Set 3%
92Images

Preprocessing

Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±25° Horizontal, ±25° Vertical
Saturation: Between -50% and +50%
Brightness: Between 0% and +50%
Exposure: Between -25% and +25%
Blur: Up to 2px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical