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aws_marketplace/using_model_packages/improving_industrial_workplace_safety/improving_industrial_workplace_safety.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Demonstrating Industrial Workplace Safety using Pre-trained Machine Learning Models\n",
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"# Demonstrating Industrial Workplace Safety using Pre-trained Machine Learning Models\n",
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"\n",
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"### Introduction\n",
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"## Introduction\n",
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"This sample notebook shows how to use pre-trained model packages from [AWS Marketplace](https://aws.amazon.com/marketplace/search/results?page=1&filters=FulfillmentOptionType&FulfillmentOptionType=SageMaker&ref_=mlmp_gitdemo_indust) to detect industrial workspace safety related object labels, such as hard-hat, personal protective equipment, construction machinery, and construction worker in an image. The notebook also shows an approach to perform inference on a video by taking snapshots from the video file to generate an activity/status log. At the end of this you will become familiar on steps to integrate inferences from pre-trained models into your application. This notebook is intended for demonstration, we highly recommend you to evaluate the accuracy of machine learning models to see if they meet your expectations.\n",
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"### Pre-requisites:\n",
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"## Pre-requisites\n",
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"This sample notebook requires you to subscribe to pre-trained machine learning model packages. Follow the following steps to subscribe to the listings:\n",
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"1. Open the following model package product detail pages, in separate tabs, in your web browser. \n",
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"metadata": {},
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"source": [
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"### Step 1.2.1: View construction site image"
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"#### Step 1.2.1: View construction site image"
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"cell_type": "markdown",
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"### Step 1.2.2: View an image with a worker and a person at a workplace"
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"#### Step 1.2.2: View an image with a worker and a person at a workplace"
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Step 1.2.3: View an image with an excavator and a truck at work"
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"#### Step 1.2.3: View an image with an excavator and a truck at work"
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