Semua dengan label benar Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Botanical Research and Taxonomy: This model could be applied in botany or ecological studies where accurate identification of plants, especially the identified benar classes, is required. It would enable researchers to classify and identify species just by processing an image, speeding up the extensive work of taxonomy.
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Smart Gardening Apps: This model can be integrated into smart gardening applications where users can quickly identify and learn about the plants they have in their garden, including their care needs, possible pests, and ideal conditions. This can also encourage efficient planting and care for biodiversity.
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Plant Retail and E-Commerce: The model could be used in online plant retail or e-commerce platforms to verify the images uploaded by sellers, ensuring that the plants being sold match the correct classification. This can enhance the accuracy of product descriptions and improve customer trust.
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Environmental Education: The model could be useful in educational settings, helping students learn about different plant species. It could be particularly beneficial in environmental science courses, field trips, or practical lab classes.
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Landscaping and Nursery Industries: Professionals working in the landscaping and nursery industries could use the model to identify plants for their projects or inventory, facilitating decision making on plant choices based on factors such as aesthetics, climate tolerance, and maintenance 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{
semua-dengan-label-benar_dataset,
title = { Semua dengan label benar Dataset },
type = { Open Source Dataset },
author = { Orbit Final Project },
howpublished = { \url{ https://universe.roboflow.com/orbit-final-project/semua-dengan-label-benar } },
url = { https://universe.roboflow.com/orbit-final-project/semua-dengan-label-benar },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-11-21 },
}