python trainer.py --device_id cuda \ --pretrained_pt_path /res/pvdetection_07fe2b.pt \ --batch_size 16 \ --max_epochs 300 \ --ema_enabled \ --wandb_enabled \ --early ...

It’s been 250 years since the signing of the Declaration of Independence — a milestone that invites not just celebration, but reflection. To illustrate two and a half centuries of U.S. history, Here & ...

Construction sites require continuous monitoring of PPE compliance and safety-related hazards. Manual inspection is slow and inconsistent. This project trains a YOLOv8 object detection model to detect ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

As nearly half of all Australians say they have recently used artificial intelligence (AI) tools, knowing when and how they’re being used is becoming more important. Consultancy firm Deloitte recently ...

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...

In our setup, we aim at personalizing generic object detection models to recognize objects by a set of instance-level labels. Fig. 1: For each object (e.g., ball), multiple instances (e.g., ball1, ...

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.