Dataset Versions

v2

Segunda Version

Generated on Jun 4, 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 75%
231Images
Valid Set 15%
47Images
Test Set 10%
31Images

Preprocessing

Auto-Orient: Applied
Static Crop: 29-56% Horizontal Region, 27-92% Vertical Region
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
Rotation: Between -15° and +15°
Saturation: Between -59% and +59%
Blur: Up to 1.75px
Bounding Box: Flip: Horizontal
Bounding Box: Noise: Up to 5% of pixels

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