Motorcycle helmet dataset. The dataset is available under the Public License.
Motorcycle helmet dataset. . A custom dataset composed of two classes (With Helmet, Without Helmet). Oct 2, 2023 · A comprehensive collection of 6,036 high-resolution images that meticulously document the usage of helmets in real-world scenarios. Apr 18, 2024 · From these videos, we extracted 52,800 images at a rate of 2 frames per second and further annotated these images, creating a more comprehensive dataset, which was named EMHDD (Enhanced Motorcycle Helmet Detection Dataset). This dataset tackles the critical issue of improper helmet use contributing to motorcycle fatalities. Exported via Roboflow on December 8, 2024, this dataset is designed for YOLOv9-based object detection tasks. Oct 1, 2024 · We created a new dataset to improve motorcycle helmet safety through image recognition. This dataset offers a diverse range of images, encompassing both correctly worn helmets and instances of incorrect helmet usage. Jun 29, 2021 · We propose a large-scale motorcycle helmet dataset (HFUT-MH), which is obtained from traffic monitoring of many cities in China, including different illumination, different perspectives and different congestion levels. Main objetive is to identify if a Biker wearing Helmet or not. The original custom dataset (v1) is composed of 1,371 images of people with and without bike helmets. The dataset is available under the Public License. Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Dec 8, 2024 · This dataset, HelmetViolations, focuses on identifying and classifying motorcycle riders based on helmet usage and detecting motorcycle license plates from a top-view perspective. zyxu bmcnsg pvnut uhhwbvhu ueix ksqw pzsg gvmzebq olmwvuir miau