Dataset Versions

v2

2024-09-23 12:00pm

Generated on Sep 23, 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 89%
156Images
Valid Set 11%
20Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 78% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -23% and +23%
Brightness: Between -22% and +22%
Exposure: Between -13% and +13%
Noise: Up to 1.88% of pixels

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