Dataset Versions

v1

2024-06-10 9:32am

Generated on Jun 10, 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 88%
1224Images
Valid Set 8%
116Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.26% of pixels

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