Dataset Versions

v2

2024-09-05 6:49am

Generated on Sep 5, 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 89%
1233Images
Valid Set 7%
100Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 31% of images
Blur: Up to 1.3px
Noise: Up to 6.91% of pixels

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