Custom Models: Samples

This page contains a list of custom models that has been trained and made publicly available by other DeepStack users and the DeepStack team.

You can use any of the models listed below to detect the corresponding objects it is trained for. All you need to do is download the custom model’s .pt file and deploy it as detailed here.

You can also contribute models you have trained by creating an issues on the DeepStack’s GitHub repository and include the following in the issue’s description

  • purpose of the custom model

  • object(s) that can be detected

  • link to the .pt file of the model.

  • link to a GitHub repository or post on the model [optional]

1. Licence Plate Detection

https://deepquest.sfo2.digitaloceanspaces.com/deepstackdev/docs/images/license-plate.png

This model is trained to detect Norwegian licence plates, but is tested with various other plates and are working with those.

  • Created by: Odd

  • Purpose: License Plate Detection

  • Model Type: YOLOv5

GitHub Repository: https://github.com/odd86/deepstack_licenceplate_model

2. Logo Detection

https://github.com/OlafenwaMoses/DeepStack_OpenLogo/raw/main/images/fedex_detected.jpg

This model is trained to detect all 352 logos in the OpenLogo dataset.

  • Created by: DeepQuestAI

  • Purpose: Common Logo Detection

  • Model Type: YOLOv5x

GitHub Repository: DeepStack_OpenLogo

3. Dark/Night scene objects Detection

https://github.com/OlafenwaMoses/DeepStack_ExDark/raw/main/images/1.jpg

This model is trained to detect 12 common objects in images and videos from Dark/Night scenes. This model was trained on the ExDark Dataset.

  • Created by: DeepQuestAI

  • Purpose: Detecting common objects in dark/night images and videos

  • Model Type: YOLOv5x

GitHub Repository: DeepStack_ExDark