How can emerging technologies enhance wildlife conservation?
As someone who's deeply passionate about both wildlife and technology, I get to work with both with Animal Detect, where I am working on the tech side - creating a user-friendly platform to process vast amounts of wildlife data. This project is close to my heart, aiming to assist professionals in fields with topics like animal behavior, protection, and more.
I'm committed to leveraging cutting-edge technologies, thinking outside the box, and keeping up with the rapidly advancing AI tools to see how they can be applied to wildlife conservation.
To push myself further, I've challenged myself to explore different tools and share my experiences in weekly posts!
Kicking off with my first post: Using a Generative Adversarial Network (GAN) to colorize night images from trail cameras.
I decided to experiment with DeOldify, a state-of-the-art method for colorizing black and white images and videos. The example shows the original grayscale image and the result after processing.
In the top corner of each image, you can see the Render Factor (RF), which adjusts the color where lower RF values often result in less vibrant colors, while higher values can produce more vivid images but might introduce artifacts.
I'm curious, do you think there's a benefit in colorizing night images of wildlife? Could it help researchers gain new insights or make the data more engaging? I'd love to hear your thoughts and start a conversation! 😊
