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Object Detection Jupyter Notebook

Object detection is a popular computer vision technique that can detect one or multiple objects in a frame and place bounding boxes around them. This sample Jupyter notebook provided here, contains a ResNet18 model that you can retrain on an AzureML Compute Target

About this Model

This is a pretrained RestNet18 model built on a DetecNet v2.0 backbone for object detection that has been trained on the object detection and object orientation estimation benchmark consisting of 7481 training images and 7518 test images, comprising a total of 80, 256 labeled objects.

In this Jupyter notebook, we will retrain at this model The model contains pretrained weights that can be used as a starting point with the DetectNet_v2 object detection networks. The ResNet18 model that is used in this notebook, is an unpruned model with just the feature extractor weights, and has to be re-trained from scratch for an object detection use-case.

A Mean Average Precision (mAP) of 74.57% was achieved after training the model for 120 epochs. Also shown below are the mAP for the various classes in the model:

Car: 78.62%\nCyclist: 80.78%\nPedestrian: 64.27%\nThe data shown below is shown as a reference. Depending on the type of training data and additional classes that you add to the model, you may have to run this for more than 120 epochs to achieve the desired accuracy.

For more information about other models pretrained models that can be used as start point of detectnet_v2 please refer to this ngc page: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_detectnet_v2

Customizing the model with the TAO Toolkit

To fine-tune and customize the model, you’ll be using the TAO (Train, Adapt and Optimize) Toolkit. The TAO Toolkit, a low-code AI model development solution, leverages the power of transfer learning to help fine-tune pretrained models with your own data. Transfer learning which is the process of transferring learned features from one application to another. It is a commonly used training technique where you use a model trained on one task and retrain to use it on a different task. With the TAO Toolkit, you can customize models for tasks in computer vision, natural language processing and speech.

Once you have customized the model, you can then use the built-in optimization techniques such as model pruning and quantization to optimize the model for inference on the target GPU, without sacrificing accuracy.

All the training steps are covered in the Jupyter notebook.

Note: A customized kernel for the Jupyter Notebook is used as the primary mechanism for deployment. This kernel has been built on the TAO Toolkit container.

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Object detection is a popular computer vision technique that can detect one or multiple objects in a frame.","# Object Detection Jupyter Notebook\nObject detection is a popular computer vision technique that can detect one or multiple objects in a frame and place bounding boxes around them. This sample Jupyter notebook provided here, contains a ResNet18 model that you can retrain on an AzureML Compute Target\n\n\n## About this Model\nThis is a pretrained RestNet18 model built on a DetecNet v2.0 backbone for object detection that has been trained on the object detection and object orientation estimation benchmark consisting of 7481 training images and 7518 test images, comprising a total of 80, 256 labeled objects.\n\nIn this Jupyter notebook, we will retrain at this model The model contains pretrained weights that can be used as a starting point with the DetectNet_v2 object detection networks. The ResNet18 model that is used in this notebook, is an unpruned model with just the feature extractor weights, and has to be re-trained from scratch for an object detection use-case.\n\nA Mean Average Precision (mAP) of 74.57% was achieved after training the model for 120 epochs. Also shown below are the mAP for the various classes in the model:\n\nCar: 78.62%\nCyclist: 80.78%\nPedestrian: 64.27%\nThe data shown below is shown as a reference. Depending on the type of training data and additional classes that you add to the model, you may have to run this for more than 120 epochs to achieve the desired accuracy.\n\nFor more information about other models pretrained models that can be used as start point of detectnet_v2 please refer to this ngc page: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_detectnet_v2\n\n## Customizing the model with the TAO Toolkit\nTo fine-tune and customize the model, you’ll be using the TAO (Train, Adapt and Optimize) Toolkit. The TAO Toolkit, a low-code AI model development solution, leverages the power of transfer learning to help fine-tune pretrained models with your own data. Transfer learning which is the process of transferring learned features from one application to another. It is a commonly used training technique where you use a model trained on one task and retrain to use it on a different task. With the TAO Toolkit, you can customize models for tasks in computer vision, natural language processing and speech.\n\nOnce you have customized the model, you can then use the built-in optimization techniques such as model pruning and quantization to optimize the model for inference on the target GPU, without sacrificing accuracy.\n\nAll the training steps are covered in the Jupyter notebook.\n\n\nNote: A customized kernel for the Jupyter Notebook is used as the primary mechanism for deployment. 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As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\nThis is a CloudFoundry cookie","OptanonConsent","nvid.nvidia.com","This cookie is set by the cookie compliance solution from OneTrust. It stores information about the categories of cookies the site uses and whether visitors have given or withdrawn consent for the use of each category. This enables site owners to prevent cookies in each category from being set in the users browser, when consent is not given. The cookie has a normal lifespan of one year, so that returning visitors to the site will have their preferences remembered. It contains no information that can identify the site visitor.","events.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","sessionid","This is a very generic cookie name that may have different purposes on different sites, but generally it will be some kind of anonymous session identifier.","_csrf","This cookie is used to prevent Cross-Site Request Forgery (CSRF) attacks, ensuring that each request made to the server is from the user's browser and is intentional.","enterprise-support.nvidia.com","Used to apply end-user cookie consent preferences set by our client-side utility.Custom- Short Duration. Unique ID of an Enquiry- used to validate access to case, and load exisiting data.\n","renderCtx","academicgrants.nvidia.com","Used to store site parameters in the session for reuse across requests by a single client for functionality and performance reasons.","ph_phc_yQgAEdJJkVpI24NdSRID2mor1x1leRpDoC9yZ9mfXal_posthog","The PostHog ph_phc_xxx cookie is a session cookie used for identifying and tracking visitors on websites, helping us understand user behavior and website performance.","This cookie is managed by AWS and is used for load balancing.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","OptanonAlertBoxClosed","docs.ngc.nvidia.com","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a normal lifespan of one year and contains no personal information.","nv_co","__uxq412__ses.88c1","investor.nvidia.com","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\n","This cookie name is used by DataDog to determine if cookies are supported on the website.dd_cookie_test","AMP_TLDTEST_xxxxxxxx","SESSlsd","This cookie is likely to be a session identifier used to maintain user session state across page requests.","mboxEdgeCluster","This cookie name is associated with Adobe Target which is used to communicate the correct edge cluster to at.js so that Target profiles can stay in sync as users navigate across a site.","_biz_pendingA","_rdt_em","This cookie name is associated with Reddit which is used to manage session state and user interactions.","megaNavCollapsed","_abck","The _abck cookie is associated with Akamai's Bot Manager, which is used to prevent fraud and abuse by safeguarding online interactions and detecting irregularities that could suggest malicious activity, such as bot-driven attacks or hacking attempts.","AMP_TEST","This cookie name AMP_TEST is used for internal analytics by the website operator, necessary for the functionality of the website's chat-box function, and to check whether the cookie storage is working properly.","idccsrf","This cookie name is associated with Salesforce which is used to track CrossSiteRequestForgery validation for certain single sign-on (SSO) flows.","_biz_flagsA","This cookie is used to remember users' settings as well as for authentication and analytics.","ApplicationGatewayAffinity","partners.nvidia.com","This cookie is used to maintain a user session by the server in a load balanced environment, to ensure the user has a consistent experience.","AMP_TEST_xxxxxxxx","bm_lso","This cookie name is associated with Akamai which is used to load the site as quickly as possible and to recognize bots.","SSESS###########","This cookie is likely to be a session cookie used to maintain an anonymized user session by the server in a secure environment, often seen in sites built with the Drupal content management system.","nvdeveloper.nvidia.com","__uxq412__id.88c1","QueueITAccepted-SDFrts345E-V3_{eventId}","TEST_AMCV_COOKIE_WRITE","This cookie is used to test whether cookies are enabled in the browser. 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It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","_devzone_session","This cookie is likely used to maintain a user session on the website by the server. It is common for session identifiers to be used to keep users logged in and track their interaction with the site during a session.","_cs_c","The cookie is used by Content Square to save the user consent to be tracked.","bm_sz","This cookie is used by Akamai to optimize site performance and security. It is typically associated with the delivery of web content and services.","vcalliance.nvidia.com","ASP.NET_SessionId","General purpose platform session cookie, used by sites written with Microsoft .NET based technologies. 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Usually associated with managing sessions on load balanced servers, to ensure user requests are routed consistently to the correct server. The common root is BIGipServer most commonly followed by a domain name, usually the one that it is hosted on, but not always.","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a one year lifespan and contains no personal information.","default","

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