Dataset Versions

v4

2022-03-25 8:57pm

Generated on Mar 25, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 87%
25389Images
Valid Set 9%
2600Images
Test Set 4%
1205Images

Preprocessing

Resize: Fit (white edges) in 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Noise: Up to 2% of pixels

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