Dataset Versions

v5

2024-11-16 4:37pm

Generated on Nov 16, 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 98%
1622Images
Valid Set 2%
26Images
Test Set 0%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 11-91% Horizontal Region, 10-63% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Shear: ±18° Horizontal, ±34° Vertical
Bounding Box: Rotation: Between -11° and +11°

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