Dataset Versions

v3

2024-01-15 2:26pm

Generated on Jan 15, 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 87%
162Images
Valid Set 9%
16Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 21-75% Horizontal Region, 25-76% Vertical Region
Dynamic Crop: Class: Dog
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Blur: Up to 5.2px
Noise: Up to 10% of pixels
Cutout: 21 boxes with 10% size each
Mosaic: Applied

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