Datasets › AxonEM
AxonEM
The AxonEM dataset consists of two 30x30x30 um^3 EM image volumes from the human and mouse cortex, respectively. It is used for 3D axon instance segmentation of brain cortical regions. The authors proofread over 18,000 axon instances to provide dense 3D axon instance segmentation, enabling large-scale evaluation of axon reconstruction methods. In addition, the authors also densely annotate nine ground truth subvolumes for training, per each data volume.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- AxonEM
1 variant name, as the archive lists them.
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