Dataset Versions

v7

2022-10-17 7:18am

Generated on Oct 17, 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 93%
1473Images
Valid Set 4%
69Images
Test Set 3%
40Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Upside Down
Rotation: Between -15° and +15°
Hue: Between -70° and +70°
Saturation: Between -50% and +50%
Noise: Up to 3% of pixels