Dataset Versions

v2

2024-03-03 6:27am

Generated on Mar 3, 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%
2682Images
Valid Set 8%
256Images
Test Set 4%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -11° and +11°
Grayscale: Apply to 12% of images
Brightness: Between -20% and +20%
Noise: Up to 1.01% of pixels

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