Dataset Versions

v7

2021-09-26 4:06pm-all_classes-no_resize

Generated on Sep 26, 2021

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.
Other Formats
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Dataset Split

Train Set 87%
1593Images
Valid Set 8%
152Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±11° Vertical
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels