J3QM

QM_NEW

Object Detection

QM_NEW Image Dataset

v3

2024-06-04 10:09pm

Generated on Jun 4, 2024

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 43%
1023Images
Valid Set 32%
771Images
Test Set 25%
598Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Brightness: Between -15% and +15%
Blur: Up to 2.5px

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