-
Desert ants’ survival strategy emerges from millions of simple interactions - 4 hours ago
-
CRISPR Gene Editing Makes Stem Cells ‘Invisible’ to Immune System - 4 hours ago
-
Discovery of Severe Psychological Impairment due to Space Travel Brings Mission to Mars into Question - 4 hours ago
-
Apple is offering interest-free financing to boost iPhone sales in China - 4 hours ago
-
Physicists calculate proton’s pressure distribution for first time - 10 hours ago
-
Urine Test Detects Organ Transplant Rejection, Could Replace Needle Biopsies - 10 hours ago
-
Dose of vitamin C helps gold nanowires grow - 10 hours ago
-
Trump calls for 6G cellular technology, because why the heck not? - 10 hours ago
-
Loop acquires ScreenPlay to build its streaming library - 10 hours ago
-
Google’s ‘Digital Wellbeing’ features hit more devices, including Samsung Galaxy S10 - 10 hours ago
MAFAT Challenge – Fine-Grained Classification of Objects from Aerial Imagery
In this competition, MAFAT DDRD (Israel Directorate of Defense Research Development) would like to tackle the challenge of automatically exploiting fine-grained information from aerial imagery data.
Image credit: MAFAT
As the volume of imagery gathered by aerial sensors is rapidly growing, we understand that the exploitation of such data could not be achieved solely by a manual image analysis process. The competition’s objective is to explore automated solutions that will enable fine-grained classification of objects in high-resolution aerial imagery.
Participants goal is to detect and classify different objects found in high-resolution aerial imagery data. The classification includes fine-grained classification of sub-classes and unique features (Such as sunroof, color, air vents, etc.) Prizes:30,000 USD.
Source: CodaLab
<!–
Comment this news or article
–>