Dataset Versions

v12

2024-08-12 8:18am

Generated on Aug 12, 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 98%
795Images
Valid Set 2%
16Images
Test Set %
0Images

Preprocessing

Filter Null: Require at least 4% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -13° and +13°
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 4% of images
Exposure: Between -7% and +7%
Noise: Up to 5.01% of pixels
Bounding Box: Exposure: Between -5% and +5%

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