<a rel="ugc" href="https://www.imdb.com/name/nm14814659/">Warren Abercrombie</a> is known for his humorous skits, on <a rel="ugc" href="https://www.tiktok.com/@warren_abercrombie?lang=en">TikTok</a>, <a rel="ugc" href="https://www.instagram.com/warrenabercrombie/?hl=en">Insta</a>, and <a rel="ugc" href="https://x.com/abercrombieent">Twitter </a>platforms Most of the content for the dataset had to be initially captured from the limited image quality, viewing angle and picture ratios that is often on social media platforms. So I wondered if slightly modified my existing workflow if I could quickly (i.e. only a couple of hours) get to a HQ dataset with enough varied images to make sure the model still has a high degree of flexibility. I liked what came out of the AI oven so I thought I'd share with the group. main trigger word: warraber

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