Dataset Versions

v3

2021-12-12 11:50am

Generated on Dec 12, 2021

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 80%
746Images
Valid Set 20%
186Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 1
Rotation: Between -2° and +2°
Shear: ±8° Horizontal, ±9° Vertical
Grayscale: Apply to 8% of images
Hue: Between -19° and +19°
Saturation: Between -45% and +45%
Brightness: Between -36% and +36%
Exposure: Between -16% and +16%
Blur: Up to 1px
Noise: Up to 1% of pixels
Mosaic: Applied