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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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+
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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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+
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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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+
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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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+
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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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+
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  ## Citation
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  **BibTeX:**