/Real-time-object-detection-and-segmentation-using-Mask-RCNN

In this work, a model is designed which can detect the objects in videos and images and label them. The model works on COCO dataset using pretrained weights on resnet-101. The technique od masking is used along with object labelling using Mask-RCNN,instance segmentation and Computer Vision.

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Real-time-object-detection-and-segmentation-using-Mask-RCNN

In this work, I built a model which can detect and then label the objects in videos and images. The resnet-101 model is pre-trained on the COCO dataset. The technique of masking is used along with object labelling using Mask-RCNN, instance segmentation, and Computer Vision. Samples folder contains the video file on which detection and segmentation is done.

Download the pretrained model weights from here https://github.com/matterport/Mask_RCNN/releases