Dataset Versions

v3

2024-10-07 12:37pm

Generated on Oct 7, 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.
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Dataset Split

Train Set 87%
2778Images
Valid Set 8%
265Images
Test Set 4%
133Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 54% of images
Brightness: Between -26% and +26%
Blur: Up to 1.8px
Bounding Box: Noise: Up to 5.01% of pixels

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