pm_eyetracking_test_video Computer Vision Project

Амир Ахтамзян

Updated 3 years ago

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downloads
Classes (62)
11 что какого вкуса - терминал
12 звук и наше здоровье
18 собери клетку
33 диограмма "многообразие видов"
34 Разнообразвие животных
36 следы жизнедеятельности животных
37 интерактивный стол животные
38 покорми меня
39 кто чем поет
40 Живое сообщество
41 птицы города
42 Оставь свой след в защиту природы
chronometrograf 16
chto kakogo vkusa 11
chto kakogo vkusa rfid 11
dioramma mnogoobrazie vidov 33
dver v mir prirodi 19
emozii i mimika 15
genom 17
hronometrograf 16
index massi tela
interactivnii stol rastenia 24
interactivnii stol rastenia 24 kto gde jivet pol
interaktivnii stol jivotnie 37
jivoe soobchestvo 40
jizn dereva 25
komplex biosfera 20
kontrol zdorovia 7
ksenia
kto chem poet 39
kto jivet na dereve 27
kto kak vidit 13
listya 28
obitateli berezi 26
oztav svoi sled v zahitu prirodi 42
pokormi menia 38
pokrovi jivotnih microscop 31
ptizi goroda 41
puls jivotnih i cheloveka 5
ravnovesie
raznoobrazie dereviev 23
raznoobrazie jivotnich 34
raznoobrazie jivotnih 23
raznoobrazie mlekopitauchih 32
silomer 8
skolko let derevu 22
sledi jiznedeyateltosti jivotnih 36
soberi kletku 18
soberi skelet 2
stroenie cheloveka 3
stroenie organov 4
tanaya jizn rasteniy 28
testi iq raznih jivotnih 14
tkani cheloveka. mikroskop 6
tkani rastenii. mikroskop 31
vestubularnii apparat 9
zapahi 10
zarstva jivogo 21
zvuk i nache zdorovie 12
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Description

Here are a few use cases for this project:

  1. 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.

  2. Wildlife Conservation: Using the information extracted from this model, wildlife conservationists might identify different animal and plant species, their habitats, and patterns.

  3. 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.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-11-27 },
                            }
                        
                    

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