Dataset Versions

v1

2023-03-19 10:49pm

Generated on Mar 19, 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
Choose another format.

Dataset Split

Train Set 86%
1572Images
Valid Set 9%
167Images
Test Set 4%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Exposure: Between -10% and +10%
Noise: Up to 3% of pixels

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