Dataset Versions

v3

2023-10-31 12:01pm

Generated on Oct 31, 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.
Other Formats
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Dataset Split

Train Set 88%
5283Images
Valid Set 8%
503Images
Test Set 4%
250Images

Preprocessing

Resize: Stretch to 160x160

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -28° and +28°
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels

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