Dataset Versions

v4

V3 - 640x320

Generated on Apr 26, 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.
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Dataset Split

Train Set 88%
1190Images
Valid Set 8%
112Images
Test Set 4%
51Images

Preprocessing

Resize: Stretch to 640x320
Filter Null: Require at least 88% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -4° and +4°
Exposure: Between -15% and +15%

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