Dataset Versions

v3

2024-07-26 8:46am

Generated on Jul 26, 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
Choose another format.

Dataset Split

Train Set 97%
11453Images
Valid Set 1%
155Images
Test Set 1%
140Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x600
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 5% of images
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Blur: Up to 1.3px
Noise: Up to 0.3% of pixels

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