Dataset Versions

v1

2022-06-21 10:34pm

Generated on Jun 21, 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.
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Dataset Split

Train Set 100%
138Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x180

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 16% of images
Hue: Between -180° and +180°
Brightness: Between -16% and +16%
Exposure: Between -5% and +5%
Cutout: 8 boxes with 5% size each
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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