Dataset Versions

v1

2024-04-03 6:05pm

Generated on Apr 3, 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 88%
44Images
Valid Set 12%
6Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 6-94% Horizontal Region, 3-91% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Blur: Up to 2.5px

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