CeyMo is a novel benchmark dataset for road marking detection which covers a wide variety of challenging urban, sub-urban and rural road scenarios. The dataset consists of 2887 total images of 1920 × ...

In Industry, specially manufacturing industry, Personal Protective Equipment (PPE) like helmet (hard-hat), safety-harness, goggles etc play a very important role in ensuring the safety of workers.

The annotation data for each image were stored in an extensible markup language (TXT) file format, following the YOLO format. To meet the training requirements of the detection model, the images were ...

The annotation process was carried out in collaboration with two agronomists from the School of Tropical Agriculture and Forestry, Hainan University, who provided expert guidance on boundary cases ...