Skip to main content

Mask R-CNN for object detection and instance segmentation

Project description

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It’s based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for rcnnmasks, version 0.0.6
Filename, size File type Python version Upload date Hashes
Filename, size rcnnmasks-0.0.6.tar.gz (42.3 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page