Dataset Versions

v3

2023-07-07 9:53am

Generated on Jul 7, 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 88%
7467Images
Valid Set 8%
713Images
Test Set 4%
340Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -42% and +42%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±25° Horizontal, ±24° Vertical
Bounding Box: Brightness: Between -15% and +0%
Bounding Box: Exposure: Between -11% and +11%
Bounding Box: Noise: Up to 4% of pixels

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