Dataset Versions

v1

2024-06-03 6:45am

Generated on Jun 2, 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 86%
138Images
Valid Set 11%
17Images
Test Set 3%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±12° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -15% and +15%
Exposure: Between -19% and +19%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical