Dataset Versions

v5

2024-01-13 10:29pm

Generated on Jan 13, 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%
362Images
Valid Set 11%
47Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: erosion
Resize: Stretch to 640x640
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Noise: Up to 1% of pixels

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