Dataset Versions

v1

1400-- 54 val- 81 test. 3x augmented

Generated on Jun 6, 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 91%
1389Images
Valid Set 4%
54Images
Test Set 5%
81Images

Preprocessing

Resize: Fit within 320x320

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Grayscale: Apply to 50% of images
Hue: Between -36° and +36°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels

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