Dataset Versions

v5

2023-07-19 1:27pm

Generated on Jul 19, 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 100%
10377Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -24% and +24%
Bounding Box: Noise: Up to 10% of pixels

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