Name: SiamWeed Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Biodiversity Analysis: SiamWeed can be an efficient tool for botanists or nature conservationists who are studying plant diversity in tropical forest regions. This model can detect Siam-Flower-Green classes in large amounts of forest photography, thereby enhancing biodiversity research.
Smart Farming: In an agricultural context, this computer vision model could be employed to identify Siam weeds in crop fields. This could assist farmers in targeted weed control, optimizing productivity by reducing competition for resources between crops and weeds.
Forest Management: It could monitor forest health and growth by distinguishing different types of Siam-Flower-Green plants. It would therefore be a valuable tool for forestry departments, promoting sustainable practices and helping to manage reforestation efforts.
Eco-Tourism: The model could potentially be used in eco-tourism applications where it could identify Siam-Flower-Green types for tourists on nature trails in real-time, enhancing their educational experience.
Landscaping Applications: This model could help landscape designers by offering automatic identification of Siam-Flower-Green in existing gardens or plant catalogs, aiding in the design of eco-friendly landscapes that feature native plant species.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            siamweed_dataset,
                            title = { SiamWeed Dataset },
                            type = { Open Source Dataset },
                            author = { Deepak Gautam },
                            howpublished = { \url{ https://universe.roboflow.com/deepak-gautam-yl0zx/siamweed } },
                            url = { https://universe.roboflow.com/deepak-gautam-yl0zx/siamweed },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-03 },
                            }