Dataset Versions

v4

2024-09-29 4:35pm

Generated on Sep 29, 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 89%
1242Images
Valid Set 8%
106Images
Test Set 3%
41Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-70% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Noise: Up to 0.77% of pixels

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