Dataset Versions

v9

2024-11-11 1:40am

Generated on Nov 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.
Other Formats
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Dataset Split

Train Set 92%
23478Images
Valid Set 8%
2005Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 1.49% of pixels

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