Dataset Versions

v2

2022-09-18 12:55pm

Generated on Sep 18, 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 87%
123Images
Valid Set 8%
11Images
Test Set 5%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±33° Horizontal, ±30° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 4.5px
Noise: Up to 25% of pixels

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