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The dataset contains more than 3K samples of over 400 different individuals. The aim is to provide an “in the wild” benchmark for both RBN detection and ...
The dataset contains more than 3K samples of over 400 different individuals. The aim is to provide an “in the wild” benchmark for both RBN detection and ...
The dataset contains more than 3K samples of over 400 different individuals. The aim is to provide an “in the wild” benchmark for both RBN detection and ...
A novel dataset created after registering participants in a real ultrarunning competition which comprises a wide range of acquisition conditions in five ...
After training our different sized models, we conducted the prediction process using images extracted from the TGCRBNW (Trans Gran Canaria Race Bib Number in ...
TGCRBNW: A Dataset for Runner Bib Number Detection. (and Recognition) in the Wild. Pablo Hernández-Carrascosa, Adrian Penate-Sanchez, Javier Lorenzo-Navarro ...
Using machine learning algorithms, including OpenCV, NIVIDIA's cuDNN, & Darknet's YOLOv4 to detect numbers on racing bibs found in natural image scene. Overview ...
TGCRBNW: A Dataset for Runner Bib Number Detection (and Recognition) in the Wild. · Pablo Hernández-Carrascosa · Adrián Peñate Sánchez · Javier Lorenzo-Navarro ...
TGCRBNW: A Dataset for Runner Bib Number Detection (and Recognition) in the Wild · Computer Science. 2020 25th International Conference on Pattern… · 2021.
TGCRBNW: A dataset for runner bib num- ber detection (and recognition) in the wild. In Pro- ceedings International Conference on Pattern Recog- nition, Milan, ...