fashion segmentation & classification project with Mask R-CNN
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Updated
Sep 29, 2024 - Python
fashion segmentation & classification project with Mask R-CNN
Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
TreeSeg is a tool designed for the segmentation of individual trees using deep learning models.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
SaRa (Saliency-Driven Object Ranking) is a saliency-driven ranking model that does not require any training and can efficiently rank the visual saliency of an image.
This repository contains applications of various Image Classification and Object Detection models
AI chatbot aplication with image processing features
TensorFlow implementation of the 3D Mask R-CNN. The Mask R-CNN is an end-to-end network for instance segmentation. With compiled 3D Non Max Suppression and Crop And Resize.
Breast Cancer Ultrasound Segmentation using Deep Learning
This repository is dedicated to small projects and some theoretical material that I used to get into Computer Vision using TensorFlow in a practical and efficient way.
The application of Mask R-CNNs (Regional Convolutional Neural Networks) to solve an instance segmentation problem on Microscopy images.
Easily perform segmentation using different models and perform different operations on the mask.
This project is a web-based application that uses a pre-trained Mask R-CNN model to detect and classify car damage types (scratch, dent, shatter, dislocation) from images. Users can upload an image of a car, and the application will highlight damaged areas with bounding boxes and masks, providing a clear visual representation of the detected damage
replicAnt - generating annotated images of animals in complex environments with Unreal Engine
OpenMMLab Detection Toolbox and Benchmark
🚘 Object Detection and Semantic Segmentation for Autonomous Driving
Computer Vision and Deep Learning
Este proyecto sirve para detectar y segmentar "tribunas" de partidos de futbol, con el fin de mejorar el análisis del juego.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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