Dataset Versions

v11

2021-09-11 5:46pm

Generated on Sep 11, 2021

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%
20319Images
Valid Set 8%
1807Images
Test Set 3%
633Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 1 remapped, 1 dropped
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -25% and +25%
Noise: Up to 6% of pixels

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