Dataset Versions

v2

2024-05-29 9:25pm

Generated on May 29, 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.
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Dataset Split

Train Set 88%
21093Images
Valid Set 8%
1979Images
Test Set 4%
990Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Grayscale: Applied
Filter Null: Require at least 60% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 20% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 4.06% of pixels

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