Dataset Versions

v11

2023-08-10 11:55am

Generated on Aug 10, 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.
Other Formats
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Dataset Split

Train Set 89%
7809Images
Valid Set 8%
672Images
Test Set 4%
315Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 1 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Saturation: Between -25% and +25%
Brightness: Between -32% and +32%
Blur: Up to 1.5px
Noise: Up to 4% of pixels

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