Dataset Versions

v6

2023-08-03 12:55am

Generated on Aug 2, 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 87%
1395Images
Valid Set 8%
133Images
Test Set 4%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 43% Maximum Zoom
Rotation: Between -36° and +36°
Hue: Between -54° and +54°
Saturation: Between -61% and +61%
Brightness: Between -30% and +30%
Exposure: Between -14% and +14%