Dataset Versions

v9

2024-01-13 10:37pm

Generated on Jan 13, 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.
Other Formats
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Dataset Split

Train Set 90%
5688Images
Valid Set 6%
367Images
Test Set 4%
237Images

Preprocessing

Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels

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