Video Classification
This technology recognizes what the input video shows and outputs the category label associated with it.
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Super Resolution
This technology improves image quality by outputting an image with a higher resolution than the input image.
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Scene Segmentation
This technology paints areas in the input image with different colors so that each pixel is associated with a category it belongs to.
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Pose Estimation
This technique estimates the positions of human joints and major points (neck, shoulders, elbows, wrists, ankles, etc.) and their connections from images.
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Action Recognition
Action Recognition describes how each image pixel moves between consecutive frames. By grasping the flow of successive frames, we can know the relative motions of objects in the video footage.
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Object Detection
The technology outputs a rectangle enclosing each of objects in the input image, and can be used for detecting where people, faces, cars, signs, etc. are located in the image.
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Anomaly Detection
This technique detects “anomalous” data that behaves differently from the majority of data.
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Aerial Object Tracking
It outputs the location of the objects in the consecutive image frames without losing sight of them.
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