Fruit Detection and Multi-Variety Classification System
Published: 24 November 2025| Version 1 | DOI: 10.17632/d7t99ykjkx.1
Contributor:
abishek abiDescription
A diverse fruit dataset containing Apple, Mango, Banana, and Grape images supports classification and detection tasks. Each category includes varied samples with different sizes, colors, lighting conditions, and backgrounds. This dataset is suitable for training robust computer vision models, improving accuracy in fruit recognition, sorting, and real-time automation applications.
Files
Institutions
- VIT University
Categories
Fruit, Image Classification, Detection System