VSCO is bringing print photography back in billboard style – and your image could feature on one!
Like a blast from the past, the photography platform is giving 50 photographers the chance to feature on a billboard in their home state
VSCO, the photography-social media hybrid platform, is igniting a resurgence of print photography with an open call for 50 photographers to showcase their work on billboards across each US state. The selected photographers, who must be 18 years or older and reside in the United States, will have their impact-driven images displayed on large-format billboards, granting them a unique opportunity to engage with their audience in a novel way.
VSCO seeks "impactful images" with strong narratives that prompt people to pause and reflect, encouraging photographers to submit between three to five images, particularly those forming part of a series. The platform accepts submissions across various genres, including wildlife, portrait, and documentary photography, provided that any images containing people have the necessary model releases.
Once selected, each photographer's work will be featured on billboards in their respective home states, potentially for a duration of two to four weeks. Moreover, these chosen images may also be featured in editorial pieces, curated collections, and licensing opportunities, further amplifying their artistic prospects in the face of challenges posed by AI and the rise of short-form video consumption.
Photographers are urged to submit their images by September 10, with VSCO notifying the selected participants on a rolling basis and sharing the news on its official blog. To ensure the best possible presentation, entrants must provide a high-resolution version of their chosen image for large-format printing. As VSCO revives the traditional billboard photography scene, entrants are encouraged to visit the event webpage for further information on how to participate in this exciting endeavor.
Written by urgent.news from Digital Camera World's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.