Video Annotation Masterclass: Develop Commercial Al 10x Faster

Detect and locate the presence of multiple objects within an image, drawing bounding boxes around them to indicate their position and size. Export your labeled data in the desired format or train object detection models on V7 to label more data.

Leverage V7 annotation tools to detect and delineate individual object instances within an image, and assign a unique label to each pixel that belongs to that instance. Easily create classes with attributes, text, directional vectors, and instance IDs. Train instance segmentation models on V7 in a click.

Use V7 to combine both semantic and instance segmentation to assign a unique label to every pixel in an image, including objects and surrounding context to solve panoptic segmentation tasks. Add and manage classes along with attributes, text, directional vectors, and instance IDs to enrich your annotations. 

Use V7 for image tagging—identify and assign a label or multiple labels to images based on the presence or absence of specific features or patterns within the image. Add tags in bulk, and easily filter your data by classes, annotation authors, statuses, and more.

Detect and locate key points or joints within an image, such as human body joints or face features, and estimate the 2D and 3D poses or configurations of those points. Use V7 keypoint skeleton editor in both images and videos, and interpolate your labels to speed up your annotation process.

Solve video classification tasks and use V7’s tags to label whole videos or individual frames based on their content or features. Upload videos at their native frame rate or as separate images. Create and assign tags in bulk, and filter your data by classes, annotation authors, statuses, and more.

Divide an image into distinct regions or segments, and assign labels representing the category of objects or features they belong to, to each individual pixel. Label data manually or use V7 auto annotation to achieve pixel perfect accuracy.

Leverage V7’s OCR (Optical Character Recognition) capabilities to convert scanned images or handwritten text into machine-readable text. Detect text regions within an image and get the AI to the char recognize the characters within those regions. V7 works with any language, any alphabet, any format.

Follow or track the movement of one or more objects within a video sequence by detecting and matching features across frames. Use V7 to create labels manually or using auto annotation, and interpolate between frames to speed up the labeling process. Leverage Instance ID and attributes to enrich your annotations.

Use V7’s in built text models, such as Text Scanner, Passport Scanner, Receipt Scanner, or Invoice Scanner to automate the extraction of information from documents (such as text, images, or tables) and convert it into structured data and machine-readable formats. V7 works with any language, any alphabet, any format.

Use V7’s polyline tool to manually draw lines or curves on an image to highlight or mark specific features or regions of interest. Solve any detection, segmentation, and tracking task.

Identify and classify human actions or movements within a video using action recognition. Leverage V7 keypoint skeleton to annotate your data and add attributes, text, directional vectors, or instance IDs to enrich your annotations.

Label whole slide images (WSI) faster with V7 auto annotate tool. Create classes with attributes,  text, and instance IDs to enrich your annotations. Leverage consensus and logic stages to build automated medical workflows. V7 is FDA and HIPAA compliant.

Take advantage of V7’s DICOM annotation features such as orthogonal views, image manipulation, windowing, and consensus stage, among many others, to create pixel-perfect segmentations in CT, MRI, X-Ray, or Ultrasound scans. Build automated medical data workflows. V7 supports both DICOM and NIfTI formats, and is FDA and HIPAA-compliant.