resnet101
There are 23 repositories under resnet101 topic.
yangbisheng2009/nsfw-resnet
🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥
vijayg15/Keras-MultiClass-Image-Classification
Multiclass image classification using Convolutional Neural Network
JiahongChen/ResNet-decoder
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
joyeetadey/Violence-Detection-From-Videos
realtime violence detection from videos using cnn-lstm model
svpathak/Image-Caption-Generator
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
abdelino17/weeds-detection
Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library
dana4056/FaST
랜드마크 자동태그 기반 스마트 여행기록 SNS입니다 :-)
vilcajoal/DSRP_Semillero_ClasificacionResiduos
Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos
Aditya1Jhaveri/Cervical-Cancer-Image-Classification-in-Deep-Learning
This repository hosts the Cervical Cancer Image Classification project, a comprehensive effort aimed at improving the classification accuracy of Squamous Cell Carcinoma (SCC) through advanced deep learning models and ensemble techniques. The project utilizes the Herlev dataset.
aquatiko/Dog-vs-Cat-Redux-Kernel-Edition-Transfer-Learning
Top 5% on Kaggle leaderboard using fast.ai library and resnet50 along with transfer learning.
ConstancaElias/bird-species-classification
Convolutional Neural Networks on Image Classification using a genetic algorithm for optimization
garg-abhinav/FasterRCNN
Implementation of the paper, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", NeurIPS 2015 by Ren et al
parham1998/CNN_Image_Annotaion
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
Anamika-Ratna/Blood_Cancer-Acute_Lymphocytic_Leukemia_Detection
Explore my comprehensive collection of AI models for blood cancer detection. Leveraging deep learning and medical imaging, these models aim to revolutionize early diagnosis and treatment, making a significant impact on the battle against blood cancers. #AI #HealthcareInnovation
DipRoy/Nearest_Neighbor_Search_via_Feature_Extraction_Using_CNN
This project is a system created to use feature extraction methods and pre-trained models to find similarities between photos retrieved from different sources.
nashrahhaque/Feature-extraction-and-distances-between-image-embeddings
Academic Project for Pattern Recognition and Neural Networks Course
rashidch/Fully-Convolutional-Net-PyTorch
Transfer Learning using PyTorch
sidhu18/CrowdCount
Crowd counting and analysing techniques using Convolutional Neural Network (ResNet 101). It can process both photos and videos as inputs.
utsavbhattarai/NepaliCharClassification
Nepali Handwritten Character Image Classification through Deep Learning.
vilibili/ResNet-Keras
This is an implementation of ResNet using keras.
ahmednafis00/Vacant-Parking-Spot-Locator
Deep learning approach to detect vacant spots from a stationary video feed of a parking lot
alaaelkhashap/Image-Classification-using-Caltech-UCSD-Birds-200-Dataset
Image Classification
Matthew0x/PyTorch-Resnet-Example
Implementation of Aman Kharwal's ML tutorial