Dataset Versions

v6

2023-03-28 9:40pm

Generated on Mar 28, 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 85%
506Images
Valid Set 8%
46Images
Test Set 7%
44Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 10-90% Horizontal Region, 10-91% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%
Exposure: Between -7% and +7%

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