Dataset Versions

v1

2023-11-21 2:53pm

Generated on Nov 21, 2023

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 92%
70278Images
Valid Set 8%
5882Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 24-57% Horizontal Region, 21-39% Vertical Region
Resize: Stretch to 1280x1024

Augmentations

Outputs per training example: 3
Grayscale: Apply to 93% of images
Saturation: Between -40% and +40%
Brightness: Between -24% and +24%
Exposure: Between -9% and +9%
Blur: Up to 0.25px

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