MetaReleased Oct 2017MIT

Mask R-CNN

We don't benchmark Mask R-CNN.

It is an open-weight model from Meta under the MIT license, and free for commercial use.

Mask R-CNN Overview

Mask R-CNN is an instance segmentation model developed by Facebook AI Research (Meta), released in October 2017. It extends Faster R-CNN by adding a parallel branch that predicts binary segmentation masks for each detected object, independent of the classification and bounding box regression branches. A key contribution is RoIAlign, which replaces RoIPool with bilinear interpolation to preserve spatial correspondence between features and input pixels, significantly improving mask quality.

Mask R-CNN License

MIT · Permissive license

Mask R-CNN is released under MIT, a permissive license. The Mask R-CNN license lets you use, modify, and sell work built on the model, with the copyright notice as the only real obligation and no requirement to open-source related code changes.

Commercial use: Permitted with no separate commercial license. No usage caps, revenue thresholds, or field-of-use limits apply to Mask R-CNN.
Modification: Permitted. You can fine-tune or rewrite Mask R-CNN and keep the result closed-source.
Redistribution: Permitted. Include the original copyright and permission notice in copies or substantial portions of the work.

MIT grants no explicit patent license and disclaims all warranties. If patent exposure is a concern for your deployment, review it with counsel before launch.

Read the full MIT license ↗

Do I need a commercial license for Mask R-CNN?

No commercial license is needed for Mask R-CNN: permissive terms let you keep related code private while deploying commercially.

Do not hesitate to reach out with questions for your commercial project. Our team will help you start solving business problems on the first call. See Roboflow commercial licensing for the models included in each plan.

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This model is released under the MIT License, a short and permissive open-source license that allows commercial use, modification, and redistribution.

Yes. Under the terms of the MIT license, you can freely use this model for commercial purposes. You must retain the copyright notice and license text when redistributing.

License information is provided as a guide and is not legal advice.