Apple Finder Computer Vision Project

CS 216

Updated 2 years ago

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Classes (68)
Bump
Car breaking
Children
Domestic animals
End of all previously signed restrictions
End of no overtaking
End of no parking zone
End of priority road
Entering city
Exiting city
Give way
Give way to oncoming traffic
Green light
Handicap parking zone
Ice or snow
Intersection with priority
Level crossing
Level crossing 160m
Level crossing 240m
Level crossing 80m
Level crossing without barriers ahead
No entry
No heavy goods vehicles
No left turn
No motor vehicles
No overtaking
No parking
No pedestrians
No right turn
No stopping
No through road
No vehicles
No vehicles carrying water pollutants
One-way street
Other danger
Parking zone
Pedestrian crossing
Pedestrian crossing ahead
Pedestrian zone
Pedestrians
Priority over oncoming traffic
Priority road
Red light
Red-Orange light
Right curve
Road narrows
Roadworks
Series of curves
Slippery surface
Speed limit 100
Speed limit 30
Speed limit 50
Speed limit 60
Speed limit 70
Stop Traffic signals
Tunnel
Uneven surface
Unprotected quayside or riverbank
Weight limit 20t
Weight limit 3.5t
Weight limit 33t
Wild animals
end ofSpeed limit 70
left curve
roundabout
turn left orright only
turn right only

A description for this project has not been published yet.

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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{
                            apple-finder_dataset,
                            title = { Apple Finder Dataset },
                            type = { Open Source Dataset },
                            author = { CS 216 },
                            howpublished = { \url{ https://universe.roboflow.com/cs-216-w5rji/apple-finder } },
                            url = { https://universe.roboflow.com/cs-216-w5rji/apple-finder },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-21 },
                            }