Dataset Versions

v1

2024-09-11 9:10am

Generated on Sep 11, 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 88%
11964Images
Valid Set 8%
1136Images
Test Set 4%
567Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-80% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Noise: Up to 3.31% of pixels
Bounding Box: Rotation: Between -15° and +15°

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