CZII – CryoET Object Identification

Understanding protein complexes in their cellular environment—like oxygen-carrying hemoglobin in red blood cells— is essential for advancing disease treatment. Cryo-electron tomography (cryoET) creates stunning 3D images at near-atomic detail, allowing us to gain valuable insights into protein interactions within their dynamic natural environment.

In this competition, you’ll develop models to automatically annotate five classes of protein complexes within a curated real-world cryoET dataset—an exciting step toward uncovering the secrets of the cell.

Your work will push the boundaries of biomedical research, accelerating discoveries that could improve health worldwide.

Good luck,

Walter Reade
Kaggle Data Scientist

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