Dataset Versions

v3

2024-09-25 12:07pm

Generated on Sep 25, 2024

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 84%
478Images
Valid Set 8%
44Images
Test Set 8%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Hue: Between -15° and +15°
Brightness: Between -22% and +22%
Blur: Up to 2.5px
Noise: Up to 0.98% of pixels

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