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#1
by gauravtripathy - opened

WHat does customized model detects? What is their aim? Does it converts to ONNX format? What are the classess it needs to decipher?

Hey @gauravtripathy ,
Model stored here is trained on Kaggle environment. You can find it in this Notebook https://www.kaggle.com/code/owaiskhan9654/training-yolov7-on-kaggle-on-custom-dataset.
In yolov7 original version we have 80 different classes comming from COCO Dataset but this has been customised to detect only 2 classes ie. Persons and Cars. Moreover the weights here are in pytorch .pt format and have not been converted to ONXX Format. You may check its deployment in my Spaces section https://huggingface.co/spaces/owaiskha9654/Yolo-v7.
Hope your issue has been resolved.

Thank you so much. Your answer gave me clarity.

Happy to help. Closing this issue then :)
Do check out some of my other work and give your feedback.

owaiskha9654 changed discussion status to closed

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