python LAE-Label/plot_bboxs_odvg_dir.py (Optional) Further optimise the quality of the labelling and develop some rules, refer post process method. Some examples of labelling using LAE-Label ...

Annotations include bounding boxes for visible head regions. In addition to introducing the RPEE-Heads dataset, this paper evaluates eight state-of-the-art object detection algorithms using the ...

object detection and image captioning. You can now use Scale's Nucleus platform to explore the COCO-Stuff dataset. The platform allows you to search for images with specific annotations or using ...

A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

Transformable flat-to-shape objects created using sewing technology. ScienceDaily . Retrieved April 27, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250422132015.htm ...

As Internet of Things (IoT) devices proliferate in sectors like smart cities, health care, and industrial systems, they have ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Payment Fraud Detection and Prevention ... It leverages machine learning models trained on a vast dataset of global transactions to identify unusual spending patterns, merchant inconsistencies ...

The HRSSD dataset poses substantial challenges for salient object detection algorithms due to large scale variation, diverse foreground-background relations, and multi-salient objects. Additionally, ...