Dataset Versions

v4

2023-11-28 9:15am

Generated on Nov 28, 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 94%
2385Images
Valid Set 5%
118Images
Test Set 2%
43Images

Preprocessing

Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -10° and +10°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 30% of images
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 10% of pixels

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