Alyson East
@alyeast.bsky.social
Landscape Ecology, Biodiversity, Remote Sensing -- PhD Student at the University of Maine focused on quantitative ecology and macro systems.
Read the full paper here: besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Optimizing image capture for computer vision‐powered taxonomic identification and trait recognition of biodiversity specimens
Biological collections house millions of specimens with digital images increasingly available through open-access platforms. However, most imaging protocols were developed for human interpretation...
besjournals.onlinelibrary.wiley.com
September 4, 2025 at 5:55 PM
Read the full paper here: besjournals.onlinelibrary.wiley.com/doi/10.1111/...
This work was born from the collaboration of taxonomists, collection managers, ecologists, and computer scientists—thank you to every coauthor for your expertise, dedication, and teamwork! I couldn't be more thrilled with how this first chapter of my dissertation has turned out.
September 4, 2025 at 5:55 PM
This work was born from the collaboration of taxonomists, collection managers, ecologists, and computer scientists—thank you to every coauthor for your expertise, dedication, and teamwork! I couldn't be more thrilled with how this first chapter of my dissertation has turned out.
With millions of digitized specimens now accessible online, our recommendations ensure that images are optimized not just for human interpretation but also for automated trait extraction, species ID, and ecological analysis at scale.
September 4, 2025 at 5:55 PM
With millions of digitized specimens now accessible online, our recommendations ensure that images are optimized not just for human interpretation but also for automated trait extraction, species ID, and ecological analysis at scale.
This paper presents a comprehensive framework of 10 essential considerations to bridge traditional imaging practices and computer vision needs—covering everything from metadata, specimen positioning, color/size calibration, backgrounds, lighting, resolution, file formats, to data storage and sharing
September 4, 2025 at 5:55 PM
This paper presents a comprehensive framework of 10 essential considerations to bridge traditional imaging practices and computer vision needs—covering everything from metadata, specimen positioning, color/size calibration, backgrounds, lighting, resolution, file formats, to data storage and sharing
(5/5) Read the full paper here: besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Optimizing image capture for computer vision‐powered taxonomic identification and trait recognition of biodiversity specimens
Biological collections house millions of specimens with digital images increasingly available through open-access platforms. However, most imaging protocols were developed for human interpretation...
besjournals.onlinelibrary.wiley.com
September 4, 2025 at 5:48 PM
(5/5) Read the full paper here: besjournals.onlinelibrary.wiley.com/doi/10.1111/...
(4/5) This work was born from the collaboration of taxonomists, collection managers, ecologists, and computer scientists—thank you to every coauthor for your expertise, dedication, and teamwork! I couldn't be more thrilled for the first chapter of my dissertation to turn out this well.
September 4, 2025 at 5:47 PM
(4/5) This work was born from the collaboration of taxonomists, collection managers, ecologists, and computer scientists—thank you to every coauthor for your expertise, dedication, and teamwork! I couldn't be more thrilled for the first chapter of my dissertation to turn out this well.
(3/5) With millions of digitized specimens now accessible online, our recommendations ensure that images are optimized not just for human interpretation but also for automated trait extraction, species ID, and ecological analysis at scale.
September 4, 2025 at 5:46 PM
(3/5) With millions of digitized specimens now accessible online, our recommendations ensure that images are optimized not just for human interpretation but also for automated trait extraction, species ID, and ecological analysis at scale.
(2/5) This paper presents a comprehensive framework of 10 essential considerations to bridge traditional imaging practices and computer vision needs—covering everything from metadata, positioning, color/size calibration, backgrounds, lighting, resolution, file formats, data storage and sharing
September 4, 2025 at 5:45 PM
(2/5) This paper presents a comprehensive framework of 10 essential considerations to bridge traditional imaging practices and computer vision needs—covering everything from metadata, positioning, color/size calibration, backgrounds, lighting, resolution, file formats, data storage and sharing
Reposted by Alyson East
“I have been able to contribute to the team through leading our Outstanding Paper Award, contributing to the annual meeting with a workshop on how to do an elevator pitch and network, and publish a paper on early career ecologists publishing” -John (Sec-Treas, 2023-2025) (9/10)
Early‐Career Publishing and Reviewing: Pitfalls and Perspectives
While the publishing landscape has drastically changed in recent decades, publishing productivity metrics (e.g., citation scores) and support for early-career researchers (ECRs) have not kept pace. E....
esajournals.onlinelibrary.wiley.com
June 14, 2025 at 4:44 AM
“I have been able to contribute to the team through leading our Outstanding Paper Award, contributing to the annual meeting with a workshop on how to do an elevator pitch and network, and publish a paper on early career ecologists publishing” -John (Sec-Treas, 2023-2025) (9/10)