April 24, 2023, 12:49 a.m. | Mélanie Ducoffe, Maxime Carrere, Léo Féliers, Adrien Gauffriau, Vincent Mussot, Claire Pagetti, Thierry Sammour

cs.CV updates on arXiv.org arxiv.org

As the interest in autonomous systems continues to grow, one of the major
challenges is collecting sufficient and representative real-world data. Despite
the strong practical and commercial interest in autonomous landing systems in
the aerospace field, there is a lack of open-source datasets of aerial images.
To address this issue, we present a dataset-lard-of high-quality aerial images
for the task of runway detection during approach and landing phases. Most of
the dataset is composed of synthetic images but we also …

aerospace arxiv autonomous autonomous systems challenges commercial data dataset datasets detection images landing major practical quality runway synthetic systems vision world

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US