Dataset Versions

v1

2023-07-23 4:59pm

Generated on Jul 23, 2023

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 94%
255Images
Valid Set 4%
10Images
Test Set 2%
5Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -63% and +63%
Brightness: Between -55% and +55%
Noise: Up to 11% of pixels