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MouseRecognition

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Updated 20 days ago

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MOUSE RECOGNITION

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Go to the 'members' tab and type in the username of DataTorch accounts you wish to add as collaborators to your account.

Click 'Files' in the menu on the left, then drag your data to the provided cloud storage, or click the green plus sign to attach your own.

After uploading or attaching files, click the 'Datasets' tab to parse your data into sets.

You can create labels directly in the annotator, or design your ontology in the 'Labels' tab. Furthermore, you can enable metadata for your annotations in the 'Settings' tab.

Clicking on files in the 'Datasets' tab will bring you to the annotator, where you can select a class in the upper left hand corner and annotate using the tools in the Toolbar.

To export annotations, go to 'Exports' and click 'Create Schema'. Define your parameters, or leave it blank to export all. Once the schema is made, click on it and run it. The job will be sent to a DataTorch Agent to be completed.

Once it is completed, you will be able to click on the job and a 'Download' button will appear, allowing you to download your annotation.

https://medium.com/datatorch/how-to-create-a-custom-coco-dataset-from-scratch-7cd28f0a2c88

https://stackoverflow.com/questions/7346563/loading-local-json-file?rq=1

https://stackoverflow.com/questions/53639919/load-tensorflow-js-model-from-local-file-system-in-javascript

https://www.npmjs.com/package/http-server

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primo test creazione ed esportazione Dataset

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