Named Entity Recognition (NER) Annotation

Semantic segmentation is a pixel level annotation task. The objects are segmented individually and classified as per the class labels. Since it’s done at the pixel level the time consumption is more but at the same time it gives deep predictions. The deep learning model is widely used for autonomous vehicle, object classification etc.

Semantic segmentation is a pixel level annotation task. The objects are segmented individually and classified as per the class labels. Since it’s done at the pixel level the time consumption is more but at the same time it gives deep predictions. The deep learning model is widely used for autonomous vehicle, object classification etc.
Semantic segmentation is a pixel level annotation task. The objects are segmented individually and classified as per the class labels. Since it’s done at the pixel level the time consumption is more but at the same time it gives deep predictions. The deep learning model is widely used for autonomous vehicle, object classification etc.

Semantic segmentation is a pixel level annotation task. The objects are segmented individually and classified as per the class labels. Since it’s done at the pixel level the time consumption is more but at the same time it gives deep predictions. The deep learning model is widely used for autonomous vehicle, object classification etc.

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