CPEN455-24W2 Course Project Leaderboard

🏆 PixelCNN++ for Image Classification Leaderboard

Submit your model's predictions on the test set to see how it performs against others! The leaderboard shows results on a hidden test dataset to ensure fair comparison.

The use of the leaderboard is completely optional. You can submit your results without using the leaderboard. However, we highly recommend you to use the leaderboard to iteratively improve your model and write your report.

Please refer to this repo for project details.

Columns:

  • Model Name: Name of submitted model
  • Accuracy: Percentage of correct predictions
  • F1 Score: Harmonic mean of precision & recall
  • Submission Date: Date of submission
{
  • "headers": [
    • "eval_name",
    • "Model Name",
    • "Accuracy",
    • "F1 Score",
    • "Student ID",
    • "Submission Date"
    ],
  • "data": [
    • [
      • "34762484_pixelCNN++",
      • "pixelCNN++",
      • 0.879,
      • 0.879,
      • "34762484",
      • "2025-03-10T20:50:45Z"
      ],
    • [
      • "Test_dummy-pixelCNN++",
      • "dummy-pixelCNN++",
      • 0.249,
      • 0.099,
      • "Test",
      • "2025-03-10T09:47:19Z"
      ]
    ],
  • "metadata": null
}