Top 5% on Kaggle leaderboard using fast.ai library and resnet50 along with transfer learning.
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Updated
Aug 24, 2018 - Jupyter Notebook
Top 5% on Kaggle leaderboard using fast.ai library and resnet50 along with transfer learning.
Crowd counting and analysing techniques using Convolutional Neural Network (ResNet 101). It can process both photos and videos as inputs.
Transfer Learning using PyTorch
Deep learning approach to detect vacant spots from a stationary video feed of a parking lot
Implementation of the paper, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", NeurIPS 2015 by Ren et al
Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos
Convolutional Neural Networks on Image Classification using a genetic algorithm for optimization
Multiclass image classification using Convolutional Neural Network
This is an implementation of ResNet using keras.
realtime violence detection from videos using cnn-lstm model
🔥🔥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)🔥🔥
Implementation of Aman Kharwal's ML tutorial
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
Academic Project for Pattern Recognition and Neural Networks Course
Image Classification
Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library
랜드마크 자동태그 기반 스마트 여행기록 SNS입니다 :-)
This project is a system created to use feature extraction methods and pre-trained models to find similarities between photos retrieved from different sources.
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