Apply if you have experience with Mask SSD Mobilenet and RCNN.
1. Combine SSD MobileNet model with FCN/SegNet model to make an instance segmentation model like Mask SSD to handle occlusions while object detection.
2. Improve Mask SSD's accuracy and bring it as close as possible to Mask RCNN's accuracy
3. Improve SSD MobileNet's (object detection) accuracy and bring it as close as possible to the Faster RCNN's accuracy
Mask SSD model with code and documentationCode for improved Mask
SSD accuracy with compared accuracy between Mask SSD and Mask RCNN along with documentationCode for improved SSD
MobileNet accuracy with compared accuracy between SSD MobileNet and Faster RCNN along with documentation
Dataset - You can see this link ([login to view URL]) for downloading COCO dataset for panoptic segmentation(2017 Val images [5K/1GB] and 2017 Panoptic Train/Val annotations [821MB]). We csn use partial data if it too big.
5 freelance font une offre moyenne de ₹10556 pour ce travail
* Computer Vision and Machine Learning Expert * Hello, I have 7 years experience of computer vision and machine learning. So i have full skills and experience of this field, and have developed a lot of projects such as Plus
Hi. I am a Machine Vision Expert. I am very familiar to Deep learning apis such as Tensorflow, TensorflowLite, TfLearn, keras, pytorch, and fastai, mxnet. I have a good hands on working with Advanced R and Python and B Plus
Thanks for your posting I am computer vision and image processing expert with full experiences using machine learning such as Tensorflow, Caffe, MTCNN, Pytorch, Yolov2/3 and etc... I have developed a lot image processi Plus
I am a computer vision expert and i already worked on object detection and image segmentation projects and also have experience in ssd mobilenet. So please ping me for more details am perfect fit for your requirements.
Hi, I hope you are doing fine. I have done many image processing projects in Matlab and Python and etc. My PhD thesis was also visual analysis of human motion. I have also published several journal papers on the subjec Plus