Mask RCNN Implementation for Image Segmentation | Tutorial

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • labelme

    Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

    LabelMe is open-source tool for polygen image annotations inspired by MIT Label Me

  • Mask-RCNN-Implementation

    Mask RCNN Implementation on Custom Data(Labelme)

    1.Git clone the Mask-RCNN-Implementation 2.Install the Mask_Rcnn module.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • Mask_RCNN

    Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

    python -m pip install git+https://github.com/matterport/Mask_RCNN

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts