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Computer Vision

Enhance your understanding of the visual world, extract real-time information from videos and images, and implement accurate computer vision models, thereby enhancing your overall ability to recognize objects

Take advantage of Computer Vision and accelerate your journey towards Machine Learning with Computer Vision

We can build efficient Machine Learning models that can deliver detailed and accurately labeled images and videos, from image collection to annotation, object recognition and tracking, semantic segmentation, and 3-D point cloud annotations by structured labeling, in order to build efficient Machine Learning models that deliver detailed and accurately labeled images and videos.

The bounding box

Label an image by drawing a perfectly bounding 2D/3D box.

Annotation of landmarks

Mark the image or data's characteristics.

Annotations for polygons

To reveal the edges of the target object, outline the highest points.

The tracking of objects

Track the movement of an object in a video.

The masking

Make your image stand out by hiding some stuff and focusing on others.

Segmenting by semantics

An image is segmented and objects are identified at the pixel level.

Annotation of Cuboids

For training data, draw cuboids in an image to label things.

The transcription

Using images or video, capture the text and label it for training.