NavodPeiris/MobileNet_96x96_greyscale_weights
weights of MobileNetV1 and MobileNetV2 trained on greyscale images. supports 96x96 image inputs only. Useful for developing models for Edge devices like Android, IOS and Microcontrollers.
This project provides pre-trained AI models for image classification and object detection tasks specifically designed for resource-constrained devices. It takes grayscale images (96x96 pixels) as input and outputs a model ready for deployment on edge devices like microcontrollers, Android, or iOS. Embedded systems developers or AI engineers working on low-power devices would use this to build efficient computer vision applications.
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Use this if you need to build lightweight, energy-efficient computer vision models for small, grayscale images on edge devices such as microcontrollers.
Not ideal if you are working with high-resolution color images or if your deployment environment has ample computational resources.
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Jan 25, 2024
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