Dataset Versions

v4

2024-10-17 6:49pm

Generated on Oct 17, 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%
288Images
Valid Set 12%
41Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 24-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%

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