Dataset Versions

v9

isense_v5

Generated on Dec 21, 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 82%
7000Images
Valid Set 12%
1000Images
Test Set 6%
500Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 2
Flip: Horizontal
Brightness: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 2% of pixels

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