pm_eyetracking_test_video Object Detection Dataset and Pre-Trained Model by Амир Ахтамзян

Images

5511 images

Explore Dataset

Here are a few use cases for this project:

Educational Tool: The dataset has a lot of information related to biological organisms (plants, animals), cellular structure, and environmental aspects. This could be used to create an interactive learning platform for teachers and students.
Wildlife Conservation: Using the information extracted from this model, wildlife conservationists might identify different animal and plant species, their habitats, and patterns.
Healthcare: The model seems to identify certain aspects related to health ('kontrol zdorovia'), body structure ('tkani cheloveka. mikroskop', 'stroenie cheloveka'), and body mass index. This could potentially be used in developing health monitoring applications.
Augmented Reality: Given the ability to recognize different classes of objects, this model could be used in augmented reality applications. For example, bringing textbook images to life for students.
Entertainment: This model can identify different classes of taste ('chto kakogo vkusa'), smell ('zapahi'), sounds ('zvuk i nache zdorovie'), which could be used by game developers to create a more immersive multimedia experience.

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{
                            pm_eyetracking_test_video_dataset,
                            title = { pm_eyetracking_test_video Dataset },
                            type = { Open Source Dataset },
                            author = { Амир Ахтамзян },
                            howpublished = { \url{ https://universe.roboflow.com/-xybgo/pm_eyetracking_test_video } },
                            url = { https://universe.roboflow.com/-xybgo/pm_eyetracking_test_video },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jan },
                            note = { visited on 2024-06-18 },
                            }