Dataset Versions

v2

2023-01-18 8:29am

Generated on Jan 18, 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.
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Dataset Split

Train Set 92%
3081Images
Valid Set 8%
258Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Flip: Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Brightness: Between -62% and +62%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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