imagenet-classifier
There are 72 repositories under imagenet-classifier topic.
qubvel/classification_models
Classification models trained on ImageNet. Keras.
sacmehta/EdgeNets
This repository contains the source code of our work on designing efficient CNNs for computer vision
tnikolla/robot-grasp-detection
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.
isabek/XmlToTxt
ImageNet file xml format to Darknet text format
yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification
Multi-label classification based on timm.
JunlinHan/YOCO
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
developer0hye/SKNet-PyTorch
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
EEESlab/mobilenet_v1_stm32_cmsis_nn
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
dandxy89/ImageModels
ImageNet model implemented using the Keras Functional API
yang-ruixin/pytorch-image-models-with-simclr
Multi-label classification based on timm, and add SimCLR to timm.
megvii-research/basecls
A codebase & model zoo for pretrained backbone based on MegEngine.
Yang-YiFan/DiracDeltaNet
PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
dongkyunk/PatchConvNet-pytorch
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
IBM/MAX-Inception-ResNet-v2
Identify objects in images using a third-generation deep residual network.
darkmatter18/WhatsThere
Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API
narenmanoharan/ImageNet-Classifier-Tensorflow
Image recognition and classification using Convolutional Neural Networks with TensorFlow
gsurma/cnn_explainer
Making CNNs interpretable.
lmk123568/Paddle_Model_Analysis
【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
nithishr/streamlit-ml-demo
Machine Learning (Imagenet) User Interface Demo application using Streamlit
1e100/vovnet_v2
VoVNet V2 implementation and checkpoints
reachsumit/tensorflow-mobilenet-which-car-is-that
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
fazeVaib/DigiVision
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.
dongkyunk/ConvNext-tensorflow
Unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s"
lucylow/salty-wet-man
Binary classification to filter and block unsolicited NSFW content from annoying coworkers... --- ...
overflowjs-com/image_object_detection_tensor_api
Node.js API for Image object detection using tensorflow.js
overflowjs-com/image_object_detction_react_ui
React UI for Image object detection using tensorflow.js
morpheusthewhite/Faster-RCNN-TensorFlow-Python3.5
Tensorflow Faster R-CNN for Windows and Python 3.5
rajesh-bhat/fine-grained-image-classification
Fine grained image classification using Bi-linear CNN's and Attention models
adamshamsudeen/not-jackfruit
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.
aminul-huq/DeepFool
PyTorch implementation of DeepFool adversarial attack.
zibbini/convnext-v2_tensorflow
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.
purelyvivid/MMdnn-util
Introduces the utilization of MMdnn(a model converter) and provide a simple GUI for inference task of image classification.
teavuihuang/edge-ml-glove-nlp
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.
jcrodriguez1989/weeddream
A cannabis-trained DeepDream.
jtchen0528/ViT-experiments
short training script for ViT, Swin-T, CvT, MsViT and Dino
pixelcaliber/MedSearch
Vector Search Application for Image Similarity Search, specifically designed for medical X-rays, leveraging ResNet50, Chest-XRay dataset and Milvus vector database