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Parent(s): 7e26215
add thumbs
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README.md
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# Dataset Card for POPSICLE
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POPSICLE (**P**article/**O**bject **P**icking & **S**egmentation **I**n
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**C**ryoET **L**earning & **E**valuation) is a benchmark suite for
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cryo-electron tomography (cryoET) covering both dense voxel-wise
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- [References](#references)
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- [Glossary](#glossary)
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## Dataset Details
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### Dataset Description
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- The benchmark is designed for *evaluation*; using the test/val splits
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to tune hyperparameters defeats its purpose.
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## Dataset Structure
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Each sub-benchmark lives in its own subdirectory and is self-contained:
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</details>
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## Dataset Creation
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### Curation Rationale
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follow the original challenge protocol exactly (recall-weighted Fβ,
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class weights, β-amylase exclusion).
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## Citation
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**BibTeX:**
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# Dataset Card for POPSICLE
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<table align="center">
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<tr>
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<td align="center" width="180">
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<a href="#phantom--multi-class-macromolecular-localization"><img src="https://files.cryoetdataportal.cziscience.com/depositions_metadata/10319/Images/snapshot.png" width="160" alt="POPSICLE Phantom snapshot" /></a><br/>
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<sub><b>Phantom</b><br/>localization</sub>
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</td>
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<td align="center" width="180">
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<a href="#yeast--multi-class-organelle-segmentation"><img src="https://files.cryoetdataportal.cziscience.com/depositions_metadata/10351/Images/snapshot.png" width="160" alt="POPSICLE Yeast snapshot" /></a><br/>
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<sub><b>Yeast</b><br/>segmentation</sub>
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</td>
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<td align="center" width="180">
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<a href="#bacterial--multi-class-compartment-segmentation"><img src="https://files.cryoetdataportal.cziscience.com/depositions_metadata/10350/Images/snapshot.png" width="160" alt="POPSICLE Bacterial snapshot" /></a><br/>
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<sub><b>Bacterial</b><br/>segmentation</sub>
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</td>
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<td align="center" width="180">
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<a href="#motorbench--single-class-flagellar-motor-localization"><img src="https://files.cryoetdataportal.cziscience.com/depositions_metadata/10347/Images/snapshot.png" width="160" alt="POPSICLE MotorBench snapshot" /></a><br/>
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<sub><b>MotorBench</b><br/>localization</sub>
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</td>
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</tr>
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</table>
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POPSICLE (**P**article/**O**bject **P**icking & **S**egmentation **I**n
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**C**ryoET **L**earning & **E**valuation) is a benchmark suite for
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cryo-electron tomography (cryoET) covering both dense voxel-wise
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- [References](#references)
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- [Glossary](#glossary)
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---
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## Dataset Details
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### Dataset Description
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- The benchmark is designed for *evaluation*; using the test/val splits
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to tune hyperparameters defeats its purpose.
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---
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## Dataset Structure
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Each sub-benchmark lives in its own subdirectory and is self-contained:
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</details>
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---
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## Dataset Creation
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### Curation Rationale
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follow the original challenge protocol exactly (recall-weighted Fβ,
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class weights, β-amylase exclusion).
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---
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## Citation
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**BibTeX:**
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