Dataset Versions

v1

2022-09-16 2:00am

Generated on Sep 15, 2022

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 86%
213Images
Valid Set 10%
24Images
Test Set 5%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Brightness: Between -54% and +54%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 9% of pixels

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