Dataset Versions

v2

2023-08-10 1:19pm

Generated on Aug 10, 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.
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Dataset Split

Train Set 87%
21006Images
Valid Set 8%
1999Images
Test Set 4%
1002Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 698x478

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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