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Using deep learning to detect various objects using web cam.

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KartikGS/Object_Detection

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Object Detection

Using tensorflow framework to build a deep learning model that will detect hand signs from web cam and surround it with a bounging box.

Data Collection

The following train and test sets were created using OpenCV and labelImg.
Train set:
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Test set:
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Model Used

From Tensorflow Zoo, the pretrained ssd_mobilenet_v2_fpnlite_320x320_coco17 model is used. Installed using Tensorflow object detection API in Tenserflow Model Garden.

Training and Testing

Model was trained using the default parameter and 2000 steps.
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Loss graph in Tensorboard
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Result on the test set.
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Expected Outout in Tensorboard
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Future Scope

To make a web app that detects hand signs making webpage browsing interactive.

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Using deep learning to detect various objects using web cam.

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