Abstract: In the current deep learning research landscape, image processing technology faces significant challenges in lightweight defect detection despite its broad application in object detection.

Convolutional neural networks have shown a high degree of efficiency in the task of categorizing images and detecting objects ... implementation of neural networks. Implementing real-time objects ...

This diagram provides an overview ... subnet to provide construction site detection functionality. The blue arrows show how validators generate challenges, present miners with images, and score their ...

RF-DETR is a real ... (other image files) └── test/ ├── _annotations.coco.json ├── image1.jpg ├── image2.jpg └── ... (other image files) Roboflow allows you to create object detection datasets from ...