Dataset Versions

v4

2022-11-14 9:36pm

Generated on Nov 15, 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 85%
8048Images
Valid Set 8%
800Images
Test Set 7%
672Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°

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