Dataset Versions

v2

As4V02-2022-03-10 3:13pm

Generated on Mar 10, 2022

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 87%
4260Images
Valid Set 8%
408Images
Test Set 4%
204Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 832x832
Tile: 3 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -10% and +10%

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