Dataset Versions

v2

Augmentedv1

Generated on Oct 29, 2022

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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 80%
8092Images
Valid Set 9%
945Images
Test Set 10%
1030Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -25% and +25%

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