Dataset Versions

v4

2024-02-11 8:50pm

Generated on Feb 11, 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 88%
321Images
Valid Set 8%
29Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -11° and +11°
Grayscale: Apply to 19% of images
Brightness: Between -21% and +21%
Exposure: Between -6% and +6%
Blur: Up to 1.4px
Noise: Up to 0.34% of pixels

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