Dataset Versions

v11

Edited-v10-Flip-Blur-Noise-2x

Generated on Oct 9, 2022

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 89%
21384Images
Valid Set 11%
2566Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Blur: Up to 1.5px
Noise: Up to 3% of pixels

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