Dataset Versions

v1

2024-06-29 9:18am

Generated on Jun 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 82%
6760Images
Valid Set 12%
964Images
Test Set 6%
483Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 2
Brightness: Between -25% and +25%
Blur: Up to 0.9px
Noise: Up to 1.01% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 31% Maximum Zoom

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