Dataset Versions

v11

2024-06-01 10:08am

Generated on Jun 1, 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 88%
906Images
Valid Set 8%
85Images
Test Set 4%
43Images

Preprocessing

Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -70% and +70%
Brightness: Between -70% and +70%
Exposure: Between -15% and +15%
Blur: Up to 4.1px
Noise: Up to 0.3% of pixels

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