Dataset Versions

v18

2024-12-01 3:42pm

Generated on Dec 1, 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 88%
765Images
Valid Set 8%
73Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 450x512

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.2% of pixels

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