Dataset Versions

v4

2023-12-14 10:06am

Generated on Dec 14, 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%
483Images
Valid Set 8%
41Images
Test Set %
0Images

Preprocessing

Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region

Augmentations

Outputs per training example: 3
Hue: Between -42° and +42°
Saturation: Between -10% and +10%
Brightness: Between -32% and +32%
Exposure: Between -10% and +10%
Blur: Up to 4.25px
Noise: Up to 1% of pixels

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