Dataset Versions

v4

2024-06-06 5:20pm

Generated on Jun 6, 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 97%
822Images
Valid Set 3%
27Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15掳 and +15掳
Shear: 卤10掳 Horizontal, 卤10掳 Vertical
Grayscale: Apply to 15% of images
Hue: Between -15掳 and +15掳
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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