Dataset Versions

v13

2022-09-28 4:26pm

Generated on Sep 28, 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 90%
9318Images
Valid Set 10%
1015Images
Test Set 0%
6Images

Preprocessing

Resize: Stretch to 416x416
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Vertical
Grayscale: Apply to 11% of images
Noise: Up to 9% of pixels

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