Dataset Versions

v1

2024-10-28 6:20pm

Generated on Oct 28, 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 85%
16326Images
Valid Set 8%
1538Images
Test Set 7%
1376Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.54% of pixels