There are 7 repositories under object-classification topic.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".
Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.
🎥 iOS11 demo application for dominant objects detection.
This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.
Codes for our paper "Deep Patch Learning for Weakly Supervised Object Classification and Discovery".
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
记录每一个常用的深度模型结构的特点(图和代码)
Fuzzy-CNN comes to help improve the results of training on small data.
NVIDIA DeepStream SDK
A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python
This repository contains sample implementation of models available from iOS developer site.
[ECCV22] Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Use TensorFlow and convolutional neural networks with PowerAI to classify radio signals from outer space
Object counting with Yolov7.
This repository contains the implementation of an Object Detection and Classification & Line and Circle Detection Application
A mobile robot equipped with a 6-DoF manipulator to pick up different bricks in a partially known environment: kinematics, trajectory planning & control, object localization & classification.
Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.
YOLOv8 + PyTorch + CV2 Python-Flask Web application for Object Detection and Classification
Computes loss between two sets of entities using the optimal assignment based on the Hungarian algorithm.
MobileNet in CoreML with Vision implemented for iPhone iOS in Swift
3D object classification using dictionary learning and RGB-D covariance descriptors.
Implementation of Spatial Pyramid Pooling (SPP-net) in Keras for object classification and detection
Scene similarity for weak object discovery & classification
support c/c++, lua, python2.7, 3.4, 3.5, 3.6,3.7,3.8, java, ruby2.2, 2.3,2.4,2.5
Multiple approaches tried for Object classification on Caltech 101 Dataset
A simple Node Red subflow for People and Pets detection in Home Automation
PyTorch code for MemSAC. To appear in ECCV 2022.
Dora The Mug Finder: Detection and classification of items placed on top of a table using point cloud processing and neural networks.
my notes from CNN course of Deep Learning by Andrew Ng
Machine learning tool that provide features such as object detection, object classification, image segmentation, and image classification. Tech Stack-Machine learning, Django, Python.
A computer vision-based project that uses YOLOv8 to detect and classify plant leaves in real time, helping identify healthy and diseased plants efficiently to support smart agriculture solutions.