What is Mask RCNN?

Mask RCNN is a convolutional neural network for instance segmentation.

About the model

Here is an overview of the

Mask RCNN

model:

Date of Release Oct 23, 2017
Model Type Instance Segmentation
Architecture
Framework Used PyTorch
Annotation Format COCO JSON
Stars on GitHub 22500+

Instance segmentation extends object detection by predicting the shape of detected objects in addition to localizing them. Detectron2 is a machine learning library developed by Facebook on top of PyTorch to simplify the training of common machine learning architectures like Mask RCNN.

Mask RCNN is a convolutional neural network for instance segmentation. Our tutorial shows how to train it on a custom dataset.

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Check out YOLOv8, defining a new state-of-the-art in computer vision

YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.

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Check out YOLOv8, defining a new state-of-the-art in computer vision

YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.

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Model Performance

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Mask RCNN Annotation Format

Mask RCNN

uses the

COCO JSON

annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.

Convert data between formats

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