Real Time Image Classification with MobileNetV2 | Deep Learning Detection System | Computer Vision

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This system is an image classification tool powered by MobileNetV2, a pre-trained deep learning model. The system uses a Tkinter graphical user interface (GUI) to allow users to upload images and receive predictions on the image’s content. The predictions are based on the ImageNet dataset, which contains 1,000 object categories.

Key Features:
MobileNetV2: A lightweight and efficient convolutional neural network (CNN) that is ideal for mobile and embedded applications due to its low memory requirements and fast inference speed
Image Upload: Users can upload any image via a file dialog, and the system will automatically resize and preprocess the image to make predictions.
Top Predictions: The top 3 predicted categories for the uploaded image are displayed, along with their confidence scores.

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i got a lot of errors when i try to run it
the reason was the tensorflow
i download it but there still errors
please help me!!

mazenaljunaid
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Upload vedio on YOLO traing model using annotated file to get exact prediction

UBABabu-wzuo
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From where we get the Image Folder, please upload image folder

raneshmitra