Amazon SageMaker
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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
This model provides object detection on images using a Mask R-CNN (ResNetXt 101 + FPN) architecture. This network provides state of the art accuracy the COCO2017 validation (Box AP: 43.0) and at the same time it provides fast inference times. Supports both CPU and GPU and it features a simple pricing model where you only pay for what you use with a simple metered pricing model. See docs and more info at: https://extrapolations.dev/model/instance-segmentation-mask-r-cnn/
Key Data
| Version | |
| By | Extrapolations |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Additional Resources
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