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.
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Updated
Sep 17, 2024 - Python
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
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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.
This is a web chatbot aplication with image processing features
fashion classification project with Mask R-CNN (work in progress)
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
TreeSeg is a tool designed for the segmentation of individual trees using deep learning models.
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".
Open Source Parking Spot Detection using satellite/drone vision data
Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.14.0 and Python 3.10.12
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