Dataset Versions

v2

2022-05-03 12:20am

Generated on May 2, 2022

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 92%
17085Images
Valid Set 7%
1347Images
Test Set 0%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -23% and +23%
Noise: Up to 2% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -30% and +30%

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