This is an implementation of Faster RCNN on BCCD image set. The data set contains of roughly around 400 microscopic images of blood along with xml files containing the annotations and information about bounding boxes. We have to identify and localize, in an image, whether a cell is RBC, WBC or Platelet. I used Tensorflow object detection api for this. You can find the dataset here https://github.com/Shenggan/BCCD_Dataset
-
Notifications
You must be signed in to change notification settings - Fork 4
This project is an implementation of Faster CNN on BCCD Dataset of bloodcells. We need to detect wheter the cells in a picture are RBCs WBCs or Platelets. I used tensorflow object detection api for this.
aayushs879/Faster-RCNN-on-BCCD-Dataset
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project is an implementation of Faster CNN on BCCD Dataset of bloodcells. We need to detect wheter the cells in a picture are RBCs WBCs or Platelets. I used tensorflow object detection api for this.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published