Dataset Versions

v6

2023-06-21 11:08pm

Generated on Jun 21, 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 92%
1386Images
Valid Set 4%
63Images
Test Set 4%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 65% of images
Hue: Between -132° and +132°
Brightness: Between 0% and +41%
Exposure: Between -19% and +19%
Bounding Box: Brightness: Between -54% and +54%
Bounding Box: Noise: Up to 5% of pixels

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