nisargptl/vehicle-recognition
This enables users to gather information about any vehicle and they can see the details in a matter of seconds. Snap a quick photo in the app and it will provide the details about the vehicle make, model, year, user ratings and starting retail price. In addition, it will provide this same information for the 2 closest competitors so a user can do some quick comparison shopping.
Jupyter Notebook
Issues
- 2
201801428_Challenges_Solutions
#73 opened - 2
201801416_Challenges_Solutions
#72 opened - 2
201801184_Challenges_Solutions
#71 opened - 2
201801161_Challenges_Solutions
#69 opened - 2
201801013__Challenges_Solutions
#68 opened - 2
201801436_Challenges_Solutions
#67 opened - 2
201801414_Challenges_Solutions
#66 opened - 2
201801119_Challenges_Solutions
#64 opened - 2
201801196_Challenges_Solutions
#63 opened - 2
201801163_Challenges_Solutions
#62 opened - 2
Discrepancy in testing image dataset
#42 opened - 2
increasing further accuracy
#31 opened - 1
Image database
#28 opened - 4
Model
#27 opened - 4
Database
#26 opened - 2
- 11
Image Database
#24 opened - 2
Home page
#23 opened - 37
Current Updates
#22 opened - 4
Entire Website
#20 opened - 2
Home page
#19 opened - 2
Feedback on Website
#18 opened - 6
Queries in Firebase
#17 opened - 2
Lab9
#16 opened - 5
Frontend2
#15 opened - 2
Mid Evaluation
#14 opened - 2
Lab8
#13 opened - 5
Database2
#12 opened - 6
Model2
#11 opened - 1
Backend with Model
#6 opened - 5
Model
#4 opened - 5
Database
#3 opened - 7
Back End Development
#2 opened - 1
Front End Development
#1 opened