Library/Mask_RCNN
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matterport/Mask_RCNN

Mask_RCNN

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

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matterport

matterport

matterport • individual

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Created

Oct 19, 2017

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README Summary

This repository provides a Mask R-CNN implementation for object detection and instance segmentation built on Keras and TensorFlow. It includes pre-trained models, training code, and examples for various datasets including MS COCO, and supports custom dataset training. The implementation follows the original Mask R-CNN paper and provides both inference and training capabilities.

AI Dev Skills

Unmapped

Convolutional Neural NetworksObject DetectionInstance SegmentationRegion Proposal NetworksFeature Pyramid NetworksTransfer LearningComputer VisionDeep Learning Architecture Implementation

Tags

Convolutional Neural NetworksObject DetectionInstance SegmentationRegion Proposal NetworksFeature Pyramid NetworksTransfer LearningComputer VisionDeep Learning Architecture ImplementationHealthcareDeep LearningSelf-hostedCloud APIAutonomous Vehicle PerceptionSecurity and SurveillanceScene UnderstandingAgricultureImageRoboticsImage Annotation AutomationManufacturingOn-premiseMedical Image SegmentationQuality Control in ManufacturingObject Counting and TrackingAutonomous VehiclesRetailRobotic VisionPython

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Recent Activity

Updated 1 years ago

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production
Quality
medium
Maturity
production

Categories

Dev Tools & AutomationPrimaryHealthcare & BiologyOther AI / MLAI AgentsComputer VisionRobotics

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Languages

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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