Flight From Callahan County

 As an amature photographer interested in composites and image stylization, I love the use of machine learning/artificial intelligence now being incorporated in editing software. It speeds the workflow tremendously, but some features still need a little work. One of those is sky replacement. The software I use now does a good job of recognizing tree branches, leaves and large buildings sticking above the horizon. However, when it comes to automatically masking thin metal framework or structures like windmills extending into the middle or top area of the image, the software still needs more time in the classroom. The image below is a good example. Both ON1 Photo RAW 2022.1 and Skylum Luminar Neo Early Access masked the trees successfully, however they badly blew proper recognition of the blades and tower of the wind turbine, requiring a significant amount of time to correct. A second area of AI/ML problems is replacement of utility lines. Skylum Luminar Neo -- now with a limited-feature

 The folks at Skylum Software have released what they call an Early Access Version of Luminar NEO to customers who have advanced-purchased this new software. This decision puts Skylum in the category of software publishers who promote public "beta" testing of forthcoming versions. Serif's Affinity products and Computer Insel's PhotoLine are two apps testing this way for a long time. Skylum's primary purpose of Early Access is to seek feedback on their Relight AI, Dust Spot Removal AI and Power Lines Removal AI features. In addition, the early access will help quiet criticism of the company for failing to meet the earlier announced release time of last month. For those of us eager to get our hands on the product, it's a chance to finally see how at least part of the product will work. Early Access is missing layers and numerous other features coming later, but based on my experience with free stock photos and my own raw images shot with Olympus cameras, I am im