Dataset Versions

v6

2023-06-09 4:37pm

Generated on Jun 9, 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 88%
8328Images
Valid Set 8%
725Images
Test Set 4%
395Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -30° and +30°
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 1% of pixels

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