matterport/Mask_RCNN
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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matterport
matterport • individual
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Oct 19, 2017
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This is an implementation of [Mask R-CNN](https://arxiv.org/abs/1703.06870) 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.
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Computer VisionConvolutional Neural NetworksDeep Learning Architecture ImplementationFeature Pyramid NetworksInstance SegmentationObject DetectionRegion Proposal NetworksTransfer Learning
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Computer VisionConvolutional Neural NetworksDeep Learning Architecture ImplementationFeature Pyramid NetworksInstance SegmentationObject DetectionRegion Proposal NetworksTransfer LearningC++Data ScienceDockerEvalsForkedJupyterKerasPoint Cloud / 3D VisionPythonResearch / PapersSegmentationTensorFlowTutorial
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Evals & BenchmarkingPrimaryMLOps & InfrastructureLearning ResourcesData Science & AnalyticsModel TrainingComputer VisionSearch & Knowledge
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Python100.0%
Timeline
- Project created
- Oct 19, 2017
- Forked
- Mar 22, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Jun 7, 2024
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