Expert YOLOv11n Engineer Needed – Image Classification

+ Image classification task for 7000 images. · +We are seeking a detail-oriented freelancer to assist with classifying a dataset of 7000 images. · This project is perfect for someone who enjoys working with visual data and has a keen eye for detail. · ...

We are collecting a dataset of common tabletop objects for computer-vision training. The dataset must contain · 10 object classes, with each class photographed under a variety of conditions, angles, and backgrounds. · All photos must be delivered organized into folders, · one fo ...

Update and learn ways to make an existing script work with new dataset. · ...

We are a technology startup seeking an elite Computer Vision / Deep Learning engineer to develop a high-accuracy image classification and object counting model using YOLOv11n. · Design and train a YOLOv11n model for: Object detection Class labeling Per-image object counting · Opt ...

We are looking for a skilled data scientist with expertise in deep learning to develop an image classification system that leverages state-of-the-art convolutional neural networks (CNNs). · ...

We are looking for a Deep Learning Engineer to build an automated image classification system for visual quality control in a manufacturing environment. · Preprocess and normalize large image datasets · Implement data augmentation to improve generalization · ...

I have a project for you related to hyper-spectral image processing and classification model development using MATLAB's classification learner's app. · All processing steps need to be done with MATLAB. · ...

You will provide a dataset of images in jpg zip folder. · DISHWASHER-1,000 · WASHING MACHINE-1,000 · DRYER-1,000 · WATER HEATER-1,000 · ...

I am looking for an experienced Deep Learning / Computer Vision Engineer to develop and evaluate image classification models using the Oxford-IIIT Pet Dataset (~7,400 images across 37 pet breeds). · ...

I have a set of 11, · 000 car images. Task is to find damage (such as · scratches, dents) on these images. · ...

I am working on a medical AI research project focused on stroke detection and classification using CNN models. · ...

++Task is to find damage (such as scratches, dents) on car images. · Mandatory skills: · Data Annotation, · Data Segmentation, · Image Classification+Data Annotation · Data Segmentation · ...

We are looking for a skilled Machine Learning / Deep Learning Engineer to develop and implement a complete brain tumor detection system using MRI images and convolutional neural networks (CNNs). This is a technical development role, not a research or academic writing role. · This ...

I need help and advices how to get rid off this artifacts and practical advices about my setup. · ...

We have addresses, names, satellite photos and street view images of several thousand businesses in the US. · We need to train an AI model that will take three images we have per location and determine the following characteristics: · Square Feet - number of square feet the busin ...

Base model for industrial AI analytics tracking standard PPE equipment. · Track standard PPE equipment. · Support violation/non-violation logic. · Machine Learning · Artificial Intelligence · Python · TensorFlow · Deep Learning · Image Annotation Location Remote ...

We are looking for a Data Annotator to help create high-quality labeled datasets that power our machine learning project. · Annotate data based on detailed instructions (assign a label, draw bounding box around an object). · Perform quality checks on your own work and participate ...

I want to book a computer vision consultation with you to discuss an idea of mine but I am able to pay via up work how can we make things going Contract duration of less than one month with thirty hours per week · ...

We are bidding for a tender which requires a DL certified professional, remotely. · ...

We are seeking a dedicated Image Annotation Specialist to annotate retail images using the Roboflow interface. · The ideal candidate will commit to 30+ hours a week and take ownership of data quality throughout the annotation process. · ...