project yolov7


Object Detection

rotate_raw_640 Computer Vision Project


1180 images
Explore Dataset

Here are a few use cases for this project:

  1. Beekeeping Surveillance: The model could be used in an application for backyard beekeepers or commercial bee farming operations to help monitor their hives for hornet invasions, given prompt alerts when a hornet is detected to prevent loss of bees and disruption.

  2. Species Research: The tool could be used in scientific research to differentiate between these insect species for conservation efforts, understanding behavioral patterns, or studying biodiversity in different regions.

  3. Pest Control: Companies providing pest control services could use the model to identify whether an infestation consists of hornets or bees, helping them decide treatment plans more effectively.

  4. Agricultural Applications: Farmers and gardeners could use this technology to protect their crops and gardens from hornets while promoting a healthy environment for the pollinating bees.

  5. Educational Tools: The model could be integrated into educational software or mobile apps to help students and lifelong learners understand and identify the differences between bees and hornets visually.

Cite this Project

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

@misc{ rotate_raw_640_dataset,
    title = { rotate_raw_640 Dataset },
    type = { Open Source Dataset },
    author = { project yolov7 },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { feb },
    note = { visited on 2023-12-05 },

Find utilities and guides to help you start using the rotate_raw_640 project in your project.

Last Updated

10 months ago

Project Type

Object Detection




bee, hornet

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CC BY 4.0