5 papers
CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings
Mattia Nardon, Mikel Mujika Agirre, Ander González Tomé +7
Accurate 6D pose estimation of complex objects in 3D environments is essential for effective robotic manipulation. Yet, existing benchmarks fall short in evaluating 6D pose estimat…
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
Mohamed Lamine Mekhalfi, Paul Chippendale, Fabio Poiesi +3
This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry…
Orange Quality Grading with Deep Learning
Mohamed Lamine Mekhalfi, Paul Chippendale, Francisco Fraile +1
Orange grading is a crucial step in the fruit industry, as it helps to sort oranges according to different criteria such as size, quality, ripeness, and health condition, ensuring…
Wild Berry image dataset collected in Finnish forests and peatlands using drones
Luigi Riz, Sergio Povoli, Andrea Caraffa +13
Berry picking has long-standing traditions in Finland, yet it is challenging and can potentially be dangerous. The integration of drones equipped with advanced imaging techniques r…
Multi-view data capture using edge-synchronised mobiles
Matteo Bortolon, Paul Chippendale, Stefano Messelodi +1
Multi-view data capture permits free-viewpoint video (FVV) content creation. To this end, several users must capture video streams, calibrated in both time and pose, framing the sa…