Dataset Versions

v5

2022-04-16 5:38pm to_be_trained_augmented

Generated on Apr 16, 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 91%
10255Images
Valid Set 9%
1008Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 1
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%

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