detection Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Language-Agnostic Flower Recognition: The detection model could be used to build a multilingual flower recognition application that allows users to easily identify different flower types (such as Orchid, Rose, Lily, Carnation, and Jasmine) in their native language.
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Gardening Assistance: The model can help inexperienced gardeners identify and categorize various flower classes, informing them of suitable care and maintenance techniques according to the detected type of flower.
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Florist Inventory Tracking: Leverage the detection model to develop a custom application that scans flower stock and automatically updates inventory numbers, streamlining inventory management for florists.
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Educational Flower Classification App: The computer vision model can be incorporated into an educational application for students and botanical enthusiasts to learn about different flower species and scientific taxonomy in a more interactive and engaging manner.
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Smart Greenhouse System: Integrate the detection model into a smart greenhouse setup to monitor plants, ensuring that each flower species receives necessary care and attention, such as proper watering and nourishment, according to their unique needs.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detection-evofo_dataset,
title = { detection Dataset },
type = { Open Source Dataset },
author = { custom yolov5 },
howpublished = { \url{ https://universe.roboflow.com/custom-yolov5-0evzk/detection-evofo } },
url = { https://universe.roboflow.com/custom-yolov5-0evzk/detection-evofo },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-12-31 },
}