Cantaloupe floral datasets

Published: 25 September 2025| Version 1 | DOI: 10.17632/trdyp8krc7.1
Contributor:
Triet Le Minh

Description

This dataset is used for the "CFNet: Advancing Automated Pollination with YOLOv8-Based Cantaloupe Floral Detection" article, the partition is divided into 3 parts: train, valid and test. Train: 651 images with label, Valid: 60 images with label and Test: 32 images.

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Institutions

  • University of Economics Ho Chi Minh City

Categories

Computer Vision, Machine Learning, Deep Learning, Agriculture

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