Dataset Versions

v2

2023-03-30 3:20pm

Generated on Mar 30, 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 87%
5421Images
Valid Set 8%
514Images
Test Set 4%
264Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±11° Horizontal, ±11° Vertical
Exposure: Between -30% and +30%

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