Dataset Versions

v11

V9

Generated on May 10, 2023

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 79%
2990Images
Valid Set 13%
502Images
Test Set 8%
305Images

Preprocessing

Resize: Stretch to 640x320
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -4° and +4°
Hue: Between -15° and +15°
Exposure: Between -15% and +15%

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