There are 5 repositories under imagenet-classifier topic.
Classification models trained on ImageNet. Keras.
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.
Multi-label classification based on timm.
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
ImageNet model implemented using the Keras Functional API
A codebase & model zoo for pretrained backbone based on MegEngine.
Multi-label classification based on timm, and add SimCLR to timm.
PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
Identify objects in images using a third-generation deep residual network.
Image recognition and classification using Convolutional Neural Networks with TensorFlow
Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API
Making CNNs interpretable.
【瑞士军刀般的工具】用最短的代码完成对模型的分析,包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
Binary classification to filter and block unsolicited NSFW content from annoying coworkers... --- ...
Machine Learning (Imagenet) User Interface Demo application using Streamlit
Unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s"
Node.js API for Image object detection using tensorflow.js
A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
React UI for Image object detection using tensorflow.js
Tensorflow Faster R-CNN for Windows and Python 3.5
Fine grained image classification using Bi-linear CNN's and Attention models
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.
PyTorch implementation of DeepFool adversarial attack.
Introduces the utilization of MMdnn(a model converter) and provide a simple GUI for inference task of image classification.
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.
A cannabis-trained DeepDream.
Artificial Intelligence in Assistive Technology. Using AI and Machine Learning we can redefine what vision means for visually impaired or blind.
short training script for ViT, Swin-T, CvT, MsViT and Dino
This high-speed, low-footprint NLP (Natural Language Processing) EDGE-ML (Edge Machine Learning) JavaScript library can be used to enhance and derive more info from 'TensorFlow.js' (TensorFlow JavaScript) classification predictions. This is accomplished by applying GloVe-based NLP (Natural Language Processing) on the classification labels. The most frequently associated words of the top labels are gathered, matched, ranked and sorted. This is essentially an ML charades expert that deduces what the unidentified object is by using the top labels as word clues.