Dataset Versions

v1

2023-02-01 1:13am

Generated on Jan 31, 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
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Dataset Split

Train Set 87%
468Images
Valid Set 8%
45Images
Test Set 4%
24Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%

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