🥬 Lettuce Dry Weight Prediction Challenge
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Computer Vision for Precision Agriculture

Competition Overview

Task: Predict the dry shoot weight (g/plant) of lettuce from RGB and depth images

Metric: Mean Absolute Error (MAE) - Lower is better

Dataset: 388 lettuce plants from 4 varieties grown in controlled greenhouse conditions

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Status: ● ACTIVE

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📋 Competition Rules

Key Points:

  • ✓ Predict lettuce dry weight from images
  • ✓ Maximum 5 submissions per day allowed
  • ✓ Best score counts for final ranking
  • ✓ Teams can have multiple members
📖 View Rules (PDF) 📥 Download Rules
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Competition Details

💾 Dataset

Description: 388 lettuce plants, 4 varieties, RGB + depth images

Format: Images (PNG), CSV labels

Size: ~2.5 GB

📥 Download Dataset

🎯 Evaluation

Metric: Mean Absolute Error (MAE)

MAE = (1/n) × Σ|y_true - y_pred|

Scoring:

  • Lower MAE is better
  • Best submission counts
  • Ties broken by submission time

📤 Submission

Email to: 📋

Limits:

  • Max 5 submissions per day
  • File size limit: 10 MB

Required Format:

Image_id,DryWeightShoot 71,1.54 297,10.07 298,12.95

For support, contact: aiml@adelaide.edu.au

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