Z5 can help you to categorize the image at enterprise scale. Our image classification solution makes sure that everything gets labeled quickly and accurately. You can classify the images on the basis of quality, content type or any other custom criteria decided by you.
In-image labels are the basic requirement of any computer vision project. Our object detection solution has the tools for bounding boxes, line labels, polygons, and quality checks to make sure that you get the accurate labels.
We provide you the best solution when it comes to identifying the multiple classes and the multiple instances of certain objects. Our annotators will select a class from the relation you created and label each instance according to your instructions. Our platform supports hundreds of classes and you can get your images labeled according to your requirement.
In-image labels are the basic requirement of any computer vision project. Our object detection solution has the tools for bounding boxes, line labels, polygons, and quality checks to make sure that you get the accurate labels.
Our video object tracking tool can boost the machine learning model to label the videos 100 times faster than the human annotators. In the human annotation approach, annotators label the objects in the first frame and model continues it in the next frames. The accuracy depends on the changes made by human annotators as the objects move in the video. But our solution relabels each object which is a better approach.
Our landmark tagging tool identifies the dots and labels them to identify the landmarks on the object. We use the landmark tagging in face recognition system and robotics. Our dot tool enables you to train the models on the key points in multiple classes from your set of interrelated properties.
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