Dataset Versions

v12

2023-04-06 7-39am- 416-320

Generated on Apr 6, 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%
993Images
Valid Set 8%
93Images
Test Set 5%
54Images

Preprocessing

Resize: Stretch to 416x320

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Grayscale: Apply to 12% of images
Hue: Between -51° and +51°
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 3px

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