TensorFlow implementation of the Xception Model by François Chollet
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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
Identification of Medicinal Plants Using Xception
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
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.
A CNN using the architecture of the Xception model to build a multi-class garbage classifier.
Tagging the images which have the road signs
Food recognition base on its class and weight
Segmentation using DeepLabV3+
A deepfake face detection system using transfer learning with Xception CNN. Trained on real and fake face datasets using data augmentation, mixed precision, and GPU acceleration. Accurately classifies facial images as real or fake with high confidence. Ideal for media forensics.
ROS 2-based real-time emotion recognition with Coral Edge TPU, using a quantized Mini-XCEPTION model trained on FER-2013.
Our custom AI Pipeline on Fundus disease for 2019 Konyang-hackathon.
Detecting the emotion from static facial expressions
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