Dataset Versions

v2

2024-12-10 7:46pm

Generated on Dec 10, 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 87%
2733Images
Valid Set 8%
265Images
Test Set 4%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Hue: Between -19° and +19°
Brightness: Between -15% and +15%
Exposure: Between -9% and +9%
Noise: Up to 0.1% of pixels

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