Dataset Versions

v5

2023-06-19 3:59pm

Generated on Jun 19, 2023

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%
507Images
Valid Set 8%
48Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±22° Horizontal, ±22° Vertical
Brightness: Between -35% and +35%
Noise: Up to 10% of pixels

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