TensorFlow implementation of the Xception Model by François Chollet
-
Updated
Sep 9, 2019 - Python
TensorFlow implementation of the Xception Model by François Chollet
real-time face detection and emotion classification
Web App to identify Humans and extract Human Bodies from the image without Background
Online learning platform with automatic engagement recognition
Tagging images of bank cheques
Tagging images of bank cards, such as credit card, debit card, etc, based on Xception pretrained deep feature extraction and my own trained classification layers
Repositori untuk aplikasi Pencarian Kesamaan Gambar menggunakan Flask dan model CNN + Xception
Xception1d implementation for audio categorization
Identification of Medicinal Plants Using Xception
Workshop CDK Template to provision infra for the Deep Visual Search workshop
Dog Breed Classification with pre-trained xception model using feature extraction with convnet.
Tagging the images which have the road signs
A CNN using the architecture of the Xception model to build a multi-class garbage classifier.
Segmentation using DeepLabV3+
Food recognition base on its class and weight
Detecting the emotion from static facial expressions
Our custom AI Pipeline on Fundus disease for 2019 Konyang-hackathon.
The human face emotion recognizer using XCEPTION Core model
We have tried to classify buildings between damaged and not damaged buildings using the satellite imagery data
Add a description, image, and links to the xception-model topic page so that developers can more easily learn about it.
To associate your repository with the xception-model topic, visit your repo's landing page and select "manage topics."