Dataset Versions

v2

2023-10-17 4:38pm

Generated on Oct 17, 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 95%
1083Images
Valid Set 5%
63Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Blur: Up to 0.75px
Noise: Up to 5% of pixels

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