Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

mAP for ssd and ssdlite caffe models without any finetuning? #63

Open
fcakir opened this issue May 1, 2020 · 0 comments
Open

mAP for ssd and ssdlite caffe models without any finetuning? #63

fcakir opened this issue May 1, 2020 · 0 comments

Comments

@fcakir
Copy link

fcakir commented May 1, 2020

Does the repo owner or any others have accuracy values for the ssd and ssdlite caffe models with the tensorflow weights?
The mAP I get with ssd mobilenetv2 is 0.023, which is significantly lower than the official result. This is even when using relu6.
Has anyone successfully reproduced the official mAP values?
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@fcakir