Dataset Versions

v7

2022-03-31 3:18pm

Generated on Mar 31, 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.
Other Formats
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Dataset Split

Train Set 87%
1068Images
Valid Set 8%
102Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 300x300
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%

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