inceptionv3-model

There are 1 repository under inceptionv3-model topic.

• iremakalp / Plant_Disease_Detection

  This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

  machine-learningcnn-classificationvgg16-modelvgg19-modelalexnet-modelresnet50-modelplant-disease-detectionopencv-pythonkeras-tensorflowimage-processinginceptionv3-model
  Language:Jupyter Notebook 39

• iteam1 / image_captioning

  use InceptionV3 and LSTM model for making the caption in images

  inceptionv3-modelmachine-learning-applicationrnn-model
  Language:Jupyter Notebook 2

• iVishalr / Image-Captioning

  Implementation of Image Captioning Model using CNNs and LSTMs

  image-captioningimage-processingimagenetinceptionv3-modelconvolutional-neural-networkslstm-neural-networksflickr8k-datasetneuraltalktransfer-learning
  Language:Jupyter Notebook 2

• shankrsingh / Image-Classifier-Using-TensorFlow

  A Image Classifier which uses InceptionV3 model for multiclassification by Training the Last Layer of the Model with custom Images.

  tensorflowdeep-learningdockerinceptionv3-modelimage-classifier
  Language:Python 2

• tushartotla12 / fire-detection

  A artificial intelligence project which detects the fire and smoke before the accident causing huge loses. The work depicts the techniques like object detection, which are in todays world taking great heights. A proposal to a new method based on a deep learning approach, which uses a convolutional neural network that employs dilated convolutions has been approched. The surveillance cameras keep capturing the images, video clips of the region, which then are acted as input to the proposed system and design. It then checks the if the image has been observed with some fire or not and if found rings the alarm and thus the fire management is known in advance and the fire is prevented to avoid any kind of small damage even. In this article, two custom CNN models have been implemented for a cost-effective fire detection CNN architecture for surveillance videos. The first model is a customized basic CNN architecture inspired by AlexNet architecture. We will implement and see its output and limitations and create a customized InceptionV3 model. To balance the efficiency and accuracy, the model is fine-tuned considering the nature of the target problem and fire data. In addition, the method would be designed to be well generalized for unseen data, which offers effective generalization and reduces the number of false alarms.

  alexnet-modelcnn-classificationinceptionv3-modelmatplotlibtorchfusion
  Language:Jupyter Notebook 2

• Ahlam96 / pizzaornot

  ios app using CoreML , Training model : Inceptionv3

  coremliosswiftinceptionv3-model
  Language:Swift 1

• sayannath / Transfer-Learning-DSCKIIT

  Transfer Learning Method is used to detect whether it is cat or dog.

  inceptionv3-modeltransfer-learningkerastensorflow2catsdogsimage-classification
  Language:Jupyter Notebook 1

• styxOO7 / Flower-Classification-using-InceptionV3-

  A Flower Classification Project using pre trained model - InceptionV3 with 78 % accuracy which classifies five different types of flowers.

  classificationcnninceptionv3-modelmachine-learningpython
  Language:Jupyter Notebook 1

• panda-balarka / dog_breedClassifier

  This is a project for the udacity nano degree on neural networks and this involves a dog breed classifier using CNN.

  deep-neural-networkscnn-classificationvgg16-modelinceptionv3-modeldeep-learning
  Language:HTML 0

• shubham101096 / Hotdog-CoreML

  An iOS app used to detect whether the image captured is of Hotdog or not.

  inceptionv3-modeliosmlmodelswift
  Language:Swift