We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. Image enhancement is a crucial ...

Quantitative imaging offers unequaled spatial and temporal resolution when measuring biological phenomena, which has led to its wide use in cell biology and biomedical research. Two-dimensional (2D) ...

The ability of machines to use a camera to look at the real world and interpret data from it would have a greater influence on its applications. Be it a simple food delivery Robot like the Starship ...

One specific goal of the open source basketball analytics machine learning project is to provide a mini-map of the players. Basically a top-down view of the court with the different players ...

Security has always been a major concern for mankind. Today we have video surveillance cameras in schools, hospitals and every other public place to make us feel secured. According to a survey by HIS ...

Biologists perform numerous experiments in the laboratory based on cell culture under different conditions and acquire images for analysis. However, this leads to a huge amount of image data ...