- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
I was wondering if there was an easy way to fine-tune the TinyYOLO model to detect objects from a custom dataset in real time with bounding boxes and then compile the Caffe files into the NCS graph file. There are 4 classes in my dataset with about 150 images for each class so it is not a big dataset.
Link Copied
3 Replies
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
@user123
I trained with a custom dataset based on the following repository.
https://github.com/duangenquan/YoloV2NCS.git
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
What file in the repository do I need to edit to have it train on my own dataset?
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
And I should probably place bounding boxes on the objects in my images? If so, what did you use to do that? Thanks
Reply
Topic Options
- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page