Dataset Versions

v16

2023-03-20 7:55pm

Generated on Mar 20, 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
Choose another format.

Dataset Split

Train Set 68%
150Images
Valid Set 9%
19Images
Test Set 23%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between -99% and +99%
Exposure: Between -71% and +71%
Blur: Up to 0.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -27° and +27°
Bounding Box: Brightness: Between -55% and +55%
Bounding Box: Exposure: Between -64% and +64%
Bounding Box: Noise: Up to 22% of pixels

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