Dataset Versions

v3

2023-06-05 11:52am

Generated on Jun 5, 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 88%
552Images
Valid Set 8%
49Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -16% and +16%
Bounding Box: Noise: Up to 2% of pixels

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