Object Detection

weeds Computer Vision Project


919 images
Explore Dataset

Here are a few use cases for this project:

  1. Agriculture and Weed Management: The model can be used in smart farming applications to identify and monitor weed growth in crops and grasslands, enabling farmers to accurately apply herbicides. It could be used in both small-scale home gardening and large-scale commercial farming.

  2. Biodiversity Studies: Researchers in environmental sciences can use the model to study weed distribution and to monitor the effect of these invasive plants on local ecosystems.

  3. Landscaping and Gardening: Landscape maintenance companies and garden enthusiasts could use it to monitor the presence of weeds in lawns or gardens and take appropriate action to maintain the health and aesthetics of the space.

  4. Botanical Research: Botanists or plant scientists might use it for identifying and researching the characteristics, behaviors, and harmful effects of these specific weed species.

  5. Drones for Weed Control: Agricultural drones equipped with this model can scout fields, identify weeds from the air, and accurately target them for spot-spraying, making weed control more efficient and eco-friendly.

Cite this Project

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

@misc{ weeds-xjozy_dataset,
    title = { weeds Dataset },
    type = { Open Source Dataset },
    author = { arawex },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-12-05 },

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Last Updated

a year ago

Project Type

Object Detection




broadleaf, broadleaf-flowered, nettle, thistle, thistle-flowered

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CC BY 4.0

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