Dataset Versions

v1

2022-02-18 3:16pm

Generated on Feb 18, 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 87%
246Images
Valid Set 8%
23Images
Test Set 5%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 700x400

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -68% and +68%
Brightness: Between -11% and +11%
Blur: Up to 2.75px
Noise: Up to 5% of pixels

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