Python Programmer (for Image Recognition & Classification, CNN)

Our client. a group of Computer Science students, are in need of someone to help their thesis. We're looking for a Python programmer that has knowledge with machine learning.

WHAT'S YOUR JOB

Your main task is to program a machine learning model using Mask R-CNN to detect sharp objects (e.g. knife) from an x-ray image. Your model should be trained and tested using our dataset.

We have two models to handle the result.

1. After object detection, your program should use the BoVW and FAST-SURF model to classify if the object detected is harmful or not.

2. After object detection, your program should use some seminal CNN object classification architectures (SqueezeNet, VGG-16, ResNet) to classify if the object detected is harmful or not.

Both should be implemented.

WHAT WE CAN PROVIDE:

Source code of the following from GitHub:
- Mask R-CNN
- BoVW
- FAST-SURF (SURF)

Dataset (with permission to use from the owners)
- OPIXray

We can send you the links of our references to fully understand what we wanted to happen.