Fruits and Vegetables Freshness Classification Dataset

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1. Dataset Overview

The Fruits and Vegetables Freshness Classification Dataset provides a comprehensive collection of fruit images categorized by both fruit type and freshness state.

Total Dataset Entries

4,155 unique fruit images

Fruit Categories

Tomato, Banana, Lemon, Coriander, Carrot

Freshness States

Good
Average
Bad

2. Dataset Distribution Visualization

Fruit Type Distribution

Freshness State Distribution

3. Dataset Split Analysis

            
                  Class Name
                  Total Count
                  Training
                  Validation
                  Test

4. Classification Challenges

Key challenges in fruit freshness classification:

Subtle Visual Differences: Distinguishing between freshness states
Varying Fruit Characteristics: Different textures and colors across fruit types
Environmental Factors: Impact of storage conditions on fruit appearance
Subjective Freshness Criteria: Defining precise boundaries between states

5. Conclusion

A robust, comprehensive dataset for advanced machine learning applications in fruit freshness classification and quality assessment.