Dataset Versions

v1

2024-09-22 2:45pm

Generated on Sep 22, 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 94%
24747Images
Valid Set 6%
1450Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±14° Horizontal, ±4° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Blur: Up to 2.7px
Noise: Up to 2.75% of pixels

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