Dataset Versions

v5

2022-11-02 6-08pm 3531 images with preprocess and augmentation 3x

Generated on Nov 2, 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
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Dataset Split

Train Set 95%
8997Images
Valid Set 3%
244Images
Test Set 3%
274Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -30% and +30%