This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Accurate detection of environmental microorganisms is key to ecological monitoring and public health risk assessment. Multispectral imaging yields rich biochemical and structural cues, yet its ...

Real-time detecting and identifying impurities in wheat grain mass is crucial for wheat storage silos, flour mills and modern combines. Depending on the detection objectives, accuracy is typically ...

RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...

Microsoft has developed an AI system called JARVIS that connects various AI models to achieve a task. The JARVIS project is no longer hosted on Hugging Face, but you can access the code and dataset to ...

Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. If you already have your own dataset, you can simply ...

South Korean authorities said Thursday all airports across the country will be ordered to install bird detection cameras and radars after the Jeju Air crash that left 179 people dead. The Boeing ...

Methods from Machine Learning (ML) and Computer Vision (CV) have proven powerful tools for quickly and accurately analyzing behavioral recordings. The computational complexity of these techniques, ...

In real-life complex traffic environments, vehicles are often occluded by extraneous background objects and other vehicles, leading to severe degradation of object detector performance. To address ...