Name: ApisInaturalist12 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 Monitoring: The ApisInaturalist12 model can be used by environmental researchers and biologists to monitor and track the biodiversity of APISME (bees) in different habitats. Thanks to this tracking information, critical decisions about conservation and environment preservation can be made.
Smart Agriculture: Farmers can use this model to identify the presence and activity of bees in their crops. Information about the population of bees could help improve crop pollination strategies and ultimately enhance agricultural productivity.
Ecological Research: This computer vision model could be a valuable tool in ecological studies, helping scientists understand complex ecological patterns and processes by keeping track of APISME population in various ecosystems.
Beekeeping Operations: Beekeepers can utilize this model to identify and monitor different APISME classes in their hives. By doing this, they can get insights into the health, diversity, and productivity of their colonies.
Educational Applications: The ApisInaturalist12 could be used in educational and awareness-raising applications to teach people about the crucial role of bees in our ecosystem. It can assist in identifying and learning about different classes of APISME in an interactive, hands-on manner.

Cite This Project

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

@misc{
                            apisinaturalist12_dataset,
                            title = { ApisInaturalist12 Dataset },
                            type = { Open Source Dataset },
                            author = { ApisInaturalist12 },
                            howpublished = { \url{ https://universe.roboflow.com/apisinaturalist12/apisinaturalist12 } },
                            url = { https://universe.roboflow.com/apisinaturalist12/apisinaturalist12 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-04-28 },
                            }