Dataset Versions

v2

2024-12-05 4:32pm

Generated on Dec 5, 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 92%
2814Images
Valid Set 6%
175Images
Test Set 2%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -91° and +91°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Mosaic: Applied