VisualEyes

Description

Features:

• Image Annotation: Label and annotate images with bounding boxes, tags, polygons, and polylines.
• Image Segmentation: Segment images into different objects or regions.
• Object Detection: Detect objects within images and classify them into predefined categories.
• Facial Recognition: Detect and recognize faces in images, including face attributes like age, gender, and emotion.
• Landmarks Detection: Detect facial landmarks, such as eyes, nose, and mouth, as well as body landmarks like hands and feet.
• Text Detection: Detect and extract text from images.
• Pose Estimation: Estimate the pose or position of a person or object in an image.
• Dataset Management: Create and manage datasets for image annotation and computer vision tasks.
• Model Training: Train and fine-tune image recognition and object detection models using your own data.
• Model Evaluation: Evaluate the performance of trained models and track their accuracy.
• Image Classification: Classify images into predefined categories using pre-trained models or custom models.
• OCR (Optical Character Recognition): Recognize and extract text from scanned documents and images.
• Image Enhancement: Enhance the quality of images by removing noise, adjusting colors, and cropping.
• Augmentation: Augment image datasets by applying various transformations, flips, and rotations.
• API Access: Access the platform’s functionalities through a RESTful API.

Use Cases:

• Retail: Image annotation for product tagging, object detection for inventory management, and facial recognition for customer identification.
• Healthcare: Medical image annotation, disease detection, and radiology analysis.
• Manufacturing: Product inspection, quality control, and defect detection.
• Transportation: Vehicle detection, traffic monitoring, and self-driving car development.
• Media & Entertainment: Image enhancement, object detection for movie editing, and facial recognition for content moderation.
• Agriculture: Plant disease detection, crop monitoring, and yield estimation.
• Security: Facial recognition for access control, object detection for security surveillance, and text recognition for license plate identification.
• Robotics: Object detection and recognition for autonomous navigation and manipulation.
• Fashion: Garment classification, fabric analysis, and style detection.
• Sports: Player tracking, ball detection, and action recognition.
• Education: Image annotation for educational materials, object detection for interactive learning, and text recognition for document digitization.
• Environmental Monitoring: Object detection for wildlife tracking, vegetation analysis, and pollution monitoring.
• Agriculture: Crop monitoring, pest detection, and yield estimation