How to Delete Object Detector Completely

Table of Contents:

1. Delete via Email
2. Delete on iphone
3. Delete on android

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Data Object Detector collects from your device

1. read phone status and identity
2. read the contents of your USB storage
3. modify or delete the contents of your USB storage
4. read the contents of your USB storage
5. modify or delete the contents of your USB storage
6. take pictures and videos
7. read phone status and identity
8. view network connections
9. full network access
10. prevent device from sleeping
11. receive data from Internet

1. Delete Object Detector Account through Email

There are 2 methods to get your data (and account) deleted by Object Detector:

1. Under GDPR: EU/UK Residents have the right to ask (via email), an organization that holds data about them to delete it. This is known as the ‘right to erasure’. Organizations have one month to respond to the request.


2. Under CCPA: California residents have the right to request that a company delete the data/personal information it has on them. A failure to comply with this will result in a fine of upto $7,500.

Now you understand what the Law says, Send your Request directly to Object Detector using the form below:

Alternatively, you can follow these steps below to get Object Detector to delete your account/data:

1. To delete your Object Detector account, contact Object Detector via email and provide the reasons for your request.
2. Mention the law under which you make your request (GDPR or CCPA).
3. Notify Object Detector of the penalty for non-compliance - A $7,500 fine under CCPA and 4% of annual turnover under GDPR.
4. Send the email to bulgier.canteen.0e@redacted... Login to see email.

2. How to Delete Object Detector on Iphone

1. On iphone, Goto "Settings "
2. Click on "General" » "Iphone Storage".
3. Select the app, and click "Delete Object Detector".

3. Delete Object Detector on Android phone

1. Go to your Android phone Settings.
2. Click on "Apps & Games".
3. Select "Object Detector" and Click "Uninstall".

1. *The Deep Learning software library TensorFlow and 2 MobileNet models are used for detection and classification.

2. - Classification mode: identifying of 1000 classes from ImageNet dataset without bounding box.

3. - Detection mode: detection of 80 classes from COCO dataset with bounding box.

4. *This app is just a demo of using Machine Learning with TensorFlow on Android devices.

5. *To start and stop live preview, just touch on the preview screen.

6. No internet connection is required for using this app.

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