🔥🔥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)🔥🔥
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Updated
Mar 4, 2022 - Python
🔥🔥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)🔥🔥
Multiclass image classification using Convolutional Neural Network
Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)
Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos
realtime violence detection from videos using cnn-lstm model
This project implements an oil spill detection system using the DeepLabV3+ model with a ResNet101 backbone for semantic segmentation of aerial imagery. The system includes data preprocessing, model training, evaluation metrics, and a Gradio interface for real-time predictions.
Detecting wildfire-affected areas using satellite imagery with computer vision techniques , highlighting the efficiency of Faster RCNN model.
랜드마크 자동태그 기반 스마트 여행기록 SNS입니다 :-)
Implementation of the paper, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", NeurIPS 2015 by Ren et al
An complete flutter based app for blind people incorporating Nepali currency detection, OCR and Environment Captioning for enhancing day to day activities of visually impaired person.
Weeds detection application using transfer learning (resnet101) and some tips powered by Fastai library
A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.
Nepali Handwritten Character Image Classification through Deep Learning.
Convolutional Neural Networks on Image Classification using a genetic algorithm for optimization
This is an implementation of ResNet using keras.
Comparing ResNet50 vs ResNet101 transfer learning and fine-tuning on CIFAR-10 using TensorFlow. / TensorFlow 기반 ResNet50 vs ResNet101 전이학습/파인튜닝 비교 실습
🤖 Comprehensive study & optimization of semantic segmentation models for rural roads. Deep learning semantic segmentation system for autonomous vehicles in rural environments. PyTorch + CUDA optimized. Evaluated several architectures, achieved 60%+ mIoU with DeepLabV3+ResNet101.
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
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.
Solution for ProKI-Hackathon 24. Fine-tuning of DeepLabV3 with ResNet101 backbone and Simulated Annealing.
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