Dataset Versions

v7

2024-02-16 6:09pm

Generated on Feb 16, 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.
Other Formats
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Dataset Split

Train Set 87%
3747Images
Valid Set 8%
358Images
Test Set 4%
179Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 63% of images
Hue: Between -125° and +125°
Brightness: Between -35% and +35%
Exposure: Between -17% and +17%
Blur: Up to 1.1px
Noise: Up to 3.07% of pixels
Mosaic: Applied