Vehicle recognition system

1. A method comprising:

causing display of an image that comprises image data at a client device;

receiving an input at the client device, the input comprising an input attribute;

determining that the input attribute transgresses a threshold value;

generating a scan request at the client device responsive to the determining that the input attributes transgresses the threshold value, the scan request an image that comprises image data;

identifying a vehicle within the image based on the image data;

generating a bounding box that encompasses the vehicle in the image;

cropping the image based on the bounding box;

determining a classification of the vehicle within the bounding box based on the cropped image;

presenting a notification that includes the classification at the client device;

receiving a selection of the notification from the client device;

accessing content based on the classification responsive to the selection of the notification; and

causing display of a presentation of the content at the client device.

2. The method of claim 1 , wherein the identifying the vehicle at the position within the image includes identifying a plurality of vehicles, the generating the bounding box includes generating a plurality of bounding boxes, and wherein the cropping the image based on the bounding box further comprises:

selecting the bounding box from among the plurality of bounding boxes based on a property of the bounding box; and

cropping the image based on the selected bounding box.

3. The method of claim 2 , wherein the property of the bounding box is a size of the bounding box.

4. The method of claim 1 , wherein the identifying the vehicle within the image based on the image data includes:

applying object recognition to the image data to identify an object based on an object class; and

identifying the vehicle based on the object class and the object recognition.

5. The method of claim 1 , wherein the classification of the vehicle includes a make and a model of the vehicle.

6. The method of claim 5 , wherein the presenting the notification that includes the classification at the client device further comprises:

accessing information associated with the vehicle based on the make and the model of vehicle; and

wherein the notification includes the classification and the information.

7. The method of claim 1 , wherein the determining the classification of the vehicle includes determining a set of possible classifications, each classification among the set of possible classifications including corresponding ratings, and wherein the notification includes a display of the set of possible classifications that includes the corresponding ratings.

8. The method of claim 7 , wherein the ratings comprise percentage values.

9. A system comprising:

a memory; and

at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising:

causing display of an image that comprises image data at a client device;

receiving an input at the client device, the input comprising an input attribute;

determining that the input attribute transgresses a threshold value;

generating a scan request at the client device responsive to the determining that the input attributes transgresses the threshold value, the scan request an image that comprises image data;

identifying a vehicle within the image based on the image data;

generating a bounding box that encompasses the vehicle in the image;

cropping the image based on the bounding box;

determining a classification of the vehicle within the bounding box based on the cropped image;

presenting a notification that includes the classification at the client device;

receiving a selection of the notification from the client device;

accessing content based on the classification responsive to the selection of the notification; and

causing display of a presentation of the content at the client device.

10. The system of claim 9 , wherein the identifying the vehicle at the position within the image includes identifying a plurality of vehicles, the generating the bounding box includes generating a plurality of bounding boxes, and wherein the cropping the image based on the bounding box further comprises:

selecting the bounding box from among the plurality of bounding boxes based on a property of the bounding box; and

cropping the image based on the selected bounding box.

11. The system of claim 10 , wherein the property of the bounding box is a size of the bounding box.

12. The system of claim 9 , wherein the identifying the vehicle within the image based on the image data includes:

performing object recognition to the image data;

identifying an object that corresponds to an object class based on the object recognition; and

identifying the vehicle based on the object class.

13. The system of claim 9 , wherein the classification of the vehicle includes a make and model of the vehicle.

14. The system of claim 13 , wherein the presenting the notification that includes the classification at the client device further comprises:

accessing information associated with the vehicle based on the make and the model of the vehicle; and

wherein the notification includes the classification and the information.

15. The system of claim 9 , wherein the determining the classification of the vehicle includes determining a set of possible classifications, each classification among the set of possible classifications including corresponding ratings, and wherein the notification includes a display of the set of possible classifications that includes the corresponding ratings.

16. The system of claim 15 , wherein the ratings comprise percentage values.

17. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations including:

causing display of an image that comprises image data at a client device;

receiving an input at the client device, the input comprising an input attribute;

determining that the input attribute transgresses a threshold value;

generating a scan request at the client device responsive to the determining that the input attributes transgresses the threshold value, the scan request an image that comprises image data;

identifying a vehicle within the image based on the image data;

generating a bounding box that encompasses the vehicle in the image;

cropping the image based on the bounding box;

determining a classification of the vehicle within the bounding box based on the cropped image;

presenting a notification that includes the classification at the client device;

receiving a selection of the notification from the client device;

accessing content based on the classification responsive to the selection of the notification; and

causing display of a presentation of the content at the client device.

18. The non-transitory machine-readable storage medium of claim 17 , wherein the identifying the vehicle at the position within the image includes identifying a plurality of vehicles, the generating the bounding box includes generating a plurality of bounding boxes, and wherein the cropping the image based on the bounding box further comprises:

selecting the bounding box from among the plurality of bounding boxes based on a property of the bounding box; and

cropping the image based on the selected bounding box.

19. The non-transitory machine-readable storage medium of claim 18 , wherein the property of the bounding box is a size of the bounding box.

20. The non-transitory machine-readable storage medium of claim 17 , wherein the identifying the vehicle within the image based on the image data includes:

performing object recognition to the image data;

identifying an object that corresponds to an object class based on the object recognition; and

identifying the vehicle based on the object class.