Dataset Versions

v4

2024-11-15 8:17pm

Generated on Nov 15, 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%
141Images
Valid Set 7%
10Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-94% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±4° Vertical
Brightness: Between -8% and +8%
Noise: Up to 0.78% of pixels

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