Dataset Versions

v2

2023-03-15 9:53pm

Generated on Mar 15, 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 82%
1191Images
Valid Set 9%
132Images
Test Set 9%
132Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -13° and +13°
Brightness: Between -18% and +18%
Noise: Up to 5% of pixels

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