 | 1 | initial version |
I am trying to detect brands in pictures but I'm having some problems.
I did the cascade training with 500 positives samples and 1440 negatives samples, but I'm getting a lot of bad results. The cascade classifier detects the brand and further a lot of things that isn't the brand.
My question is: How do I eliminate the bad results and just stay with the brand that I am looking for ?
| | 2 | No.2 Revision |
I am trying to detect brands in pictures but I'm having some problems.
I did the cascade training with 500 positives samples and 1440 negatives samples, but I'm getting a lot of bad results. The cascade classifier detects the brand and further a lot of things that isn't the brand.
EDIT:
I tried to use SURF features to eliminate these bad results and look that it isn't work:
The same result occured with a image that is not my brand:
Look the detections:
My question is: How do I eliminate the bad results and just stay with the brand that I am looking for ? What I'm doing wrong ?
