Image Processing Jobs

I'm looking for a skilled professional who can assist in extracting both elliptical and rectangular text from a circle banner. The background of the banner will be varied, not a solid color or design, which adds complexity to the task. Key Tasks: - Determine the best grayscale conversion method for text extraction and convert the image to grayscale accordingly. - Determine the proper orientation of the image based on text phrases (as opposed to graphic elements or color patterns). - Rotate and save the image for optimal text extraction - Extract and save all text in plain text format, along with its corresponding quadrant from the image. - Identify and locate the position of a separate image within the main image using threshold matching. Ideal Skills and Experience: - Proficiency ...

1. Copy-Move Forgery Detection Challenges:  Post-processing transformations (e.g., rotation, scaling, flipping).  Limited generalization to diverse datasets.  Neglect of cross-image forgeries. Proposed Solutions: 1. Feature Extraction Enhancement: o Use deep learning models (e.g., CNNs with attention mechanisms) to detect transformation-invariant features. o Integrate transformer models for better spatial and contextual understanding. 2. Cross-Domain Learning: o Employ unsupervised domain adaptation techniques to enhance generalization across datasets. o Augment training datasets with synthetic forgery samples using Generative Adversarial Networks (GANs). 3. Multi-Modal Approaches: o Combine image metadata (EXIF) with visual features to improve detection in cross-image scenarios. o Leve...

I'm in need of a seasoned AI developer to build an advanced software solution tailored for digital pathology. The main objective is to design an AI-enhanced tool that aids pathologists in identifying and categorizing cervical cancer within histopathological images. This innovative solution is intended to improve both diagnostic precision and speed. Project Timeline: - Duration: 3-5 months Key Responsibilities: - Image Pre-processing and Augmentation: The developer will be responsible for preparing the raw images for model training. - Model Training and Validation: This involves the use of Convolutional Neural Networks (CNNs) and Transfer Learning techniques. - User Interface Design and Integration: The developer will also need to design and incorporate a user-friendly interface in...

A model will be trained to perform detection and segmentation from a mammography dataset. For this purpose, it is envisaged to use the yolo method and u-net model. The trained model will be applied to another dataset, segmentation will be done, segmented parts will be classified. Resnet50 etc. models will be used for classification. The necessary datasets will be provided by me.

I'm looking for a professional to develop a Fingerprint Attendance System specifically for a school environment. The system should be able to provide real-time attendance tracking and automated reporting. Key Features: - Real-time Attendance Tracking: The system should be capable of logging student attendance as it happens. - Automated Reporting: The system should generate reports without manual intervention. The fingerprint data will be stored in the cloud, so experience with cloud storage solutions is essential. Ideal skills and experience: - Expertise in developing attendance systems - Proficiency in real-time tracking systems - Experience with automated reporting systems - Knowledge in secure cloud storage implementation - Familiarity with fingerprint technology and systems