Dataset Versions

v1

2022-08-15 7:04am

Generated on Aug 15, 2022

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 88%
15Images
Valid Set %
0Images
Test Set 12%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±28° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -31% and +31%
Exposure: Between -25% and +25%
Blur: Up to 3.75px
Noise: Up to 5% of pixels