Dataset Versions

v2

2024-07-31 1:32pm

Generated on Jul 31, 2024

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 95%
5595Images
Valid Set 1%
69Images
Test Set 4%
230Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: Blimp
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each

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