Dataset Versions

v3

2023-04-12 11:30am

Generated on Apr 12, 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 87%
816Images
Valid Set 12%
116Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -38° and +38°
Grayscale: Apply to 52% of images
Brightness: Between -33% and +33%
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -36% and +36%

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