MultiOrg Dataset
MultiOrg Dataset
Datasets
MultiOrg Dataset
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MultiOrg Dataset
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MultiOrg Dataset
Description
Discover the MultiOrg dataset, a comprehensive lung organoid microscopy image collection with over 400 high-resolution images and 60,000 expertly annotated organoids.
Description:
The MultiOrg dataset is a comprehensive lung organoid 2D microscopy image collection designed for benchmarking object detection methods and studying uncertainty estimation. It includes over 400 images of entire microscopy plate wells and more than 60,000 annotated organoids. These organoids originate from diverse biological experimental setups, featuring two different types of organoids grown under varying conditions. Annotations were made by two expert annotators using bounding boxes.
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Key Features:
- Large Scale: Over 400 high-resolution microscopy images and 60,000 annotated organoids.
- Expert Annotations: Two expert annotators provided bounding box annotations, ensuring high-quality labeling.
- Biological Diversity: Organoids stem from different biological experiments, enhancing the dataset’s robustness.
- Triple Label Sets: Three unique label sets for test images, derived from the two annotators at different time points, allow for the quantification of label noise.
- Applications: Useful for multi-rater benchmarking, studying label noise, and improving object detection methods in microscopy images.
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