Dataset Versions

v1

2024-11-03 6:07pm

Generated on Nov 3, 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 93%
27226Images
Valid Set 4%
1135Images
Test Set 3%
993Images

Preprocessing

Resize: Stretch to 1024x1024
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±25° Horizontal, ±24° Vertical
Brightness: Between -25% and +25%
Bounding Box: Brightness: Between -15% and +15%

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