Dataset Versions

v2

2023-11-09 10:58pm

Generated on Nov 10, 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 87%
852Images
Valid Set 9%
93Images
Test Set 4%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -16° and +16°
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Mosaic: Applied
Bounding Box: Exposure: Between -25% and +25%

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