object detection Computer Vision Project

class

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Classes (71)
\
ac
admin block
atm
bank bike board
bok rack
book rack
books
c block
c block floor
cafe floor
cafe terrace
car
cblock floor
chair chairs
chirs
cubard
door dustbin
entrance
fan
fanoos
floor
indoor sofa
library
library first floor
library floor
library stairs
main entrance
main gate
male washroom
man
mimber
mosque
mosque ceiling
mosque courtyard
mosque first floor stairs
mosque floor
mosque stairs
mosquefloor
news bus
news cable
news car
newscar
noor block
outdoor cafe
paking shade
parkimg shade
parking shade
parkong shade
plants
prayer courtyard
reception
road stairs
stalls
table
terrace cafe
terrace door
terrace first floor
terrace floor
terrace indoor floor
terrace table
tree
university entrance
window windpw wwindow

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Description

Here are a few use cases for this project:

  1. Campus Navigation: This model could be particularly useful in creating a navigation system for a large university campus. It can identify various assets and landmarks across the campus and assist students and staff to find their way around. A search for "library stairs" or "C block floor", for instance, will show the location and path to these places.

  2. Facility Management: This model can be used in managing the facilities in a large institution. By identifying objects such as doors, windows, chairs, and tables, maintenance tasks can be easily scheduled and managed.

  3. Security Surveillance: This object detection model can help identify unusual activities or breaches in security. Abandoned items like a "bike" or unauthorised access to areas like the "mosque courtyard" or "university entrance" could be detected.

  4. Interactive Campus Map: An augmented reality app could use data from this model to create an interactive map for visitors or new students, guiding them through different parts of the campus like the "library", "man", "mosque", "cafe terrace", etc.

  5. Managing Cafeteria and Parking Spaces: The model can be used to monitor and manage cafeteria spaces and parking areas. By identifying stalls, parking shades, and the number of cars or bikes, it can provide real-time updates on the availability of parking spaces or busy times in the cafeteria.

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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{
                            object-detection-99dbx_dataset,
                            title = { object detection Dataset },
                            type = { Open Source Dataset },
                            author = { class },
                            howpublished = { \url{ https://universe.roboflow.com/class-35exa/object-detection-99dbx } },
                            url = { https://universe.roboflow.com/class-35exa/object-detection-99dbx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-12-19 },
                            }
                        
                    

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