Dataset Versions

v4

2023-10-17 7:42pm

Generated on Oct 17, 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 92%
955Images
Valid Set 4%
40Images
Test Set 4%
44Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Upside Down
Rotation: Between -9° and +9°
Brightness: Between -50% and +50%

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