Editing Blender (software) (section)

==Use in Education and Academia==
[[File:Blender Course at the University of Michigan.webp|thumb|right|alt=A fan-art character model created in Blender by Henry Lutece for study and demonstration in the University of Michigan's EECS 298 : 3D Technical Art and Animation course. Students learn how to model, texture, rig, and animate their own characters in Blender, then integrate them into the Unity game engine to achieve interactivity.|A fan-art character model created in Blender by Henry Lutece for study and demonstration in the [[University of Michigan|University of Michigan's]] EECS 298 : 3D Technical Art and Animation course. Students learn how to model, texture, rig, and animate their own characters in Blender, then integrate them into the [[Unity (game engine)|Unity]] game engine to achieve interactivity.]]

Due to its free and [[open source]] nature, Blender has become the primary software of introductory 3D art, animation, visualization, and 3D printing courses at institutions including the [[University of Michigan|University of Michigan, Ann Arbor]]<ref>{{cite web|url=https://eecs298.com/|title=EECS 298: 3D Tech Art and Animation|website=eecs298.com|date=March 13, 2025|archive-url=https://web.archive.org/web/20250313222443/https://eecs298.com/ |access-date=March 13, 2025|archive-date=13 March 2025 }}</ref> where it has been made widely available in campus laboratories.<ref>{{cite web|url=https://software.umich.edu/titles/blender|title=Blender U-M Software Directory|website=software.umich.edu|date=August 24, 2024|archive-url=https://web.archive.org/web/20240820041514/https://software.umich.edu/titles/blender |access-date=March 30, 2025|archive-date=20 August 2024 }}</ref> Blender has also been used to generate synthetic images<ref>{{Cite web |last=Gangadharaiah |first=Dhanush |title=Synthetic Data Generation for Enhanced Computer Vision applications: A CAD model and Blender approach |url=https://hsbwgt.bsz-bw.de/frontdoor/deliver/index/docId/748/file/Gangadharaiah.pdf |access-date=May 4, 2025}}</ref> for [[computer vision]] and [[AI]] training from crop monitoring<ref>{{Cite journal |last1=Aghamohammadesmaeilketabforoosh |first1=Kimia |last2=Parfitt |first2=Joshua |last3=Nikan |first3=Soodeh |last4=Pearce |first4=Joshua M. |date=2025-04-24 |title=From blender to farm: Transforming controlled environment agriculture with synthetic data and SwinUNet for precision crop monitoring |journal=PLOS ONE |language=en |volume=20 |issue=4 |pages=e0322189 |doi=10.1371/journal.pone.0322189 |doi-access=free |issn=1932-6203 |pmc=12021149 |pmid=40273145}}</ref> to [[3D printing|additive manufacturing]].<ref>{{Cite journal |last1=Petsiuk |first1=Aliaksei |last2=Singh |first2=Harnoor |last3=Dadhwal |first3=Himanshu |last4=Pearce |first4=Joshua M. |date=2024-03-28 |title=Synthetic-to-Real Composite Semantic Segmentation in Additive Manufacturing |journal=Journal of Manufacturing and Materials Processing |language=en |volume=8 |issue=2 |pages=66 |doi=10.3390/jmmp8020066 |doi-access=free |issn=2504-4494|arxiv=2210.07466 }}</ref>