Dataset Versions

v2

2024-05-08 6:13pm

Generated on May 8, 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 96%
19824Images
Valid Set 3%
602Images
Test Set 1%
184Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 3.98% of pixels

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