Dataset Versions

v1

2024-01-23 9:56am

Generated on Jan 23, 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.
Other Formats
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Dataset Split

Train Set 81%
100Images
Valid Set 13%
16Images
Test Set 6%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±12° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -24% and +24%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels

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