Amazon Sagemaker
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.
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GluonCV YOLOv3 Object Detector
Latest Version:
1.1
YOLOv3 is a powerful network for fast and accurate object detection, powered by GluonCV.
Product Overview
Given an input image, this will return object coordinates and category predictions. The format of coordinates is encoded as (left, top, right, bottom) of the absolute pixel locations. This model is trained on COCO dataset with 80 common object categories. It can be used as fast and reliable general object detector.
Key Data
Version
Categories
Type
Model Package
Highlights
This model can detect multiple objects on the input image.
The results include category names, confidence scores, and absolute locations on the input image.
Offers state-of-the-art performance with bounding box mAP of 37.0 compared to 33.0 in the original paper (https://arxiv.org/abs/1804.02767 )
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$0.00/hr
running on ml.m4.xlarge
Model Batch Transform$0.00/hr
running on ml.m4.xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.24/host/hr
running on ml.m4.xlarge
SageMaker Batch Transform$0.24/host/hr
running on ml.m4.xlarge
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
---|---|---|
ml.m4.4xlarge | $0.00 | |
ml.m5.4xlarge | $0.00 | |
ml.m5.12xlarge | $0.00 | |
ml.m4.16xlarge | $0.00 | |
ml.m5.2xlarge | $0.00 | |
ml.c4.4xlarge | $0.00 | |
ml.m5.xlarge | $0.00 | |
ml.c5.9xlarge | $0.00 | |
ml.m4.xlarge Vendor Recommended | $0.00 | |
ml.c5.4xlarge | $0.00 | |
ml.m4.2xlarge | $0.00 | |
ml.c5.2xlarge | $0.00 | |
ml.m5.large | $0.00 | |
ml.c4.2xlarge | $0.00 | |
ml.c4.8xlarge | $0.00 | |
ml.m4.10xlarge | $0.00 | |
ml.c4.xlarge | $0.00 | |
ml.m5.24xlarge | $0.00 | |
ml.c5.18xlarge | $0.00 | |
ml.c5.xlarge | $0.00 |
Usage Information
Fulfillment Methods
Amazon SageMaker
Usage Instructions: Supported content types are image/jpeg, image/png and image/bmp.
AWS APIs can be used to invoke the model after endpoint creation, for example, using aws-cli:
aws sagemaker-runtime invoke-endpoint --endpoint-name your_endpoint_name --body fileb://img.jpg --content-type image/jpeg --custom-attributes '{"threshold": 0.2}' --accept json >(cat) 1>/dev/null
The confidence score threshold can be configured in range (0, 1).
Additional Resources
End User License Agreement
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Support Information
GluonCV YOLOv3 Object Detector
Model supported is available from GluonCV. Search for questions and open new issues to ask questions.
AWS Infrastructure
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Learn MoreRefund Policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
Customer Reviews
H. M
Easy to use
May 20, 2021Verified purchase review from AWS Marketplace
I could make an inference endpoint using this model package with relatively short amount of time. It
also works with short latency with cheapest instance available.
also works with short latency with cheapest instance available.
Excellent YOLO Model
View allAmazing
May 1, 2019Verified purchase review from AWS Marketplace
A very good model to deploy to an endpoint and very simple to use. Very accurate and a excellent
implementation o YOLOV3.
implementation o YOLOV3.
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