pictorial identify Object Detection Dataset and Pre-Trained Model by abc

Images

304 images

Explore Dataset

Here are a few use cases for this project:

Wildlife Monitoring: This model can be used in wildlife preservation projects to identify and track the population and growth of different animals, like dogs and crows. The model can also be handy for identifying various reptiles, specifically snakes, aiding in species conservation efforts.
Educational Tools: This model can be incorporated into educational software or mobile applications to help students learn about different objects, animals, and symbols. For instance, identifying and learning about dharma chakra, punkalasa, etc. It can also be used for teaching about celestial bodies like the sun, moon, half moon, etc.
Astronomy Software: The model can be used in astronomy software to identify celestial bodies like the sun, moon, and half moon in images taken by telescopes, aiding in data categorization for scientific research.
Farming App: This model can be applied in a farming app to detect harmful pests like hak gediya, thereby helping farmers take necessary action to prevent crop damage.
Event Organization: In kite festivals or competitions, this model can be used to automate the process of identifying different kites during the event. The organizers can immediately know how many kites are in the air, and of what type.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            pictorial-identify-bpmco_dataset,
                            title = { pictorial identify  Dataset },
                            type = { Open Source Dataset },
                            author = { abc },
                            howpublished = { \url{ https://universe.roboflow.com/abc-lphon/pictorial-identify-bpmco } },
                            url = { https://universe.roboflow.com/abc-lphon/pictorial-identify-bpmco },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-02 },
                            }