Dataset Versions

v4

2023-08-20 3:10pm

Generated on Aug 20, 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 87%
6075Images
Valid Set 11%
779Images
Test Set 1%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -44° and +44°
Saturation: Between -50% and +50%
Brightness: Between -32% and +32%
Exposure: Between -25% and +25%
Noise: Up to 7% of pixels

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