FlowerNet: A Multi-Class Flower Image Dataset for Deep Learning-Based Classification
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://data.mendeley.com/datasets/26nvt3t27m
下载链接
链接失效反馈官方服务：
资源简介：
Description
This dataset contains images of five different flower species Rose, Chrysanthemum, Hibiscus, Marigold, and Petunia collected from local gardens, nurseries, and agricultural fields. The dataset is curated for flower classification and recognition using computer vision techniques. It includes both original and augmented images, making it suitable for deep learning applications.
Dataset Composition:
Original Dataset:
Rose: 268 images
Chrysanthemum: 291 images
Hibiscus: 197 images
Marigold: 335 images
Petunia: 309 images
Augmented Dataset:
Rose: 1,072 images
Chrysanthemum: 1,164 images
Hibiscus: 788 images
Marigold: 1,340 images
Petunia: 1,236 images
Total Images: 7,000
File Format: JPG/PNG
Potential Applications:
Computer vision-based flower classification
Plant quality and health assessment
Deep learning model training for agricultural product classification
创建时间：
2025-09-15
