A scalable pipeline for composing high-quality synthetic object segments into richly annotated images for object detection, instance segmentation, and visual grounding. High-resolution images with ...
Abstract: When a reader encounters a word in English, they split the word into smaller orthographic units in the process of recognizing its meaning. For example, “rough”, when split according to ...
This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
Abstract: Weeds are unwanted plants that grow on farms and compete with crops for nutrition and other growth factors. Weeds are everything other than the desired crop. This significantly reduced the ...
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