Image recognition and classification using Convolutional Neural Networks with TensorFlow
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Updated
Apr 30, 2017 - Python
Image recognition and classification using Convolutional Neural Networks with TensorFlow
ImageNet model implemented using the Keras Functional API
Convert image net annotated image format to OpenCV classifier format.
Detect objects in Image using Deep Learning
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
What would you say if I told you there is a app on the market that tell you if you have a jackfruit or not a jackfruit.
Introduces the utilization of MMdnn(a model converter) and provide a simple GUI for inference task of image classification.
Self Driving Car ND Project 12 - Semantic Segmentation
ml5 - Simple Image Classification using MobileNet
TinyYoloV2 imagenet 1K results.
PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Fashion Image CNN Classifier using Keras
React UI for Image object detection using tensorflow.js
Its a simple Image Classifier Web App where user can upload an image and predict what the image is. I am using TensorFlow.js for image classification.
App runs a PyTorch model trained on ImageNet to predict the label of an image fed into it
Reconocimiento de imagen con Keras y Shiny
Fine grained image classification using Bi-linear CNN's and Attention models
Tensorflow Faster R-CNN for Windows and Python 3.5
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
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