U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping
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Updated
Nov 4, 2017 - Python
U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping
Caffe implementation of Mobilenet-SSD face detector (NCS compatible)
Created a Deep Net Model for Image caption generation using LSTM, BLSTM, CNN and InceptionV3
implementation of some ml algorithms
Image classifier application to classify flowers to 102 categories, using TnensorFlow hub and Conv2D
using mobile Net
Control your android device with gestures with camera/computer vision
# AGRO BRAIN AI - Crop Disease Prediction ## Project Overview **AGRO BRAIN AI** is an advanced crop disease prediction system leveraging deep learning techniques to help farmers and agricultural professionals detect and manage crop diseases effectively. By utilizing state-of-the-art models and deploying them on accessible platforms, this project
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)2018/02/08 Add the funtion of depth_multiplier
This is just a simple JavaScript script to try out Tensorflow
Webcam livestream video image classification with MobileNet (Tensorflow.js).
End-to-end Multiclass Dog Breed image classifier using TensorFlow 2.0
Segmentation with MobileNet
Object Detection Using OpenCV & MobileNet - Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection
In this repo, I implemented VGGNet, MobileNet and AlexNet and compared their performance on Emotion Detection Task using AffectNet dataset.
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