TruongNV-hut/AIcandy_GoogleNet_ImageClassification_issabxru
Applying GoogLeNet for image classification
This project helps computer vision practitioners classify images by applying the GoogLeNet deep learning architecture. You provide a collection of images, and the system outputs labels or categories for each image. This is useful for anyone working with large image datasets, such as those in medical imaging, autonomous vehicles, or content management, who needs to automatically categorize visual content.
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Use this if you are a computer vision engineer or researcher who needs to train and deploy a GoogLeNet model for assigning categories to images.
Not ideal if you are looking for a pre-trained model for immediate use or a high-level API for general image classification without deep learning expertise.
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Python
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Last pushed
Sep 18, 2024
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