Dataset Versions

v5

2024-06-04 10:26am

Generated on Jun 4, 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 88%
2739Images
Valid Set 8%
260Images
Test Set 4%
131Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±30° Horizontal, ±30° Vertical
Grayscale: Apply to 34% of images
Hue: Between -61° and +61°
Brightness: Between -31% and +31%
Blur: Up to 2.5px
Noise: Up to 3.62% of pixels

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