Dataset Versions

v2

2024-06-26 11:47am

Generated on Jun 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.
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Dataset Split

Train Set 93%
2202Images
Valid Set 4%
100Images
Test Set 3%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -50% and +0%
Blur: Up to 2.5px
Noise: Up to 0.77% of pixels
Cutout: 4 boxes with 14% size each

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