Dataset Versions

v8

2023-10-27 2:46pm

Generated on Oct 27, 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 86%
6288Images
Valid Set 10%
708Images
Test Set 4%
320Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -10% and +10%
Brightness: Between -18% and +0%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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