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Hello
I have a question about Intel models, I was using pre-trained Intel models, but they are not able to handle my task case for object detection, I ask how Intel did to get these models like people detection or car detection models i can understand that they bring them from different platforms like pytorch or tensorflow but have you retrained these models (normally they can detect around 1000 classes) or can - be transfer learning techniques, can I have some information about the datasets used in this task, thanks sorry for being long
have a good day
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@momo93 training pipelines available for some (but not all) Intel models with OpenVINO Training Extensions. We provide links to training pipelines in model descriptions, where it is applicable, for example, in description of person-detection-0200 you may see info like below:
Training Pipeline
The OpenVINO Training Extensions provide a training pipeline, allowing to fine-tune the model on custom dataset.
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Hi Momo,
This thread will no longer be monitored since we have provided references. If you need any additional information from Intel, please submit a new question.
Regards,
Munesh
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