Image Recognition + Visual Data Clustering

Challenge

Understanding what kind of motorcycle imagery drives the highest user engagement on Instagram can be complex when dealing with 10,000+ visual posts. Triumph aimed to gain strategic insights from community-generated content to enhance their visual brand strategy across digital platforms.

Poljects’ Solution

Using advanced AI-powered image recognition, we analyzed over 10,000 Instagram posts tagged with #triumphmotorcycles. Each image was processed to extract visual features—ranging from terrain and lighting to rider posture and background content.

We then used dimensionality reduction and unsupervised clustering to build a multi-dimensional visual landscape, revealing organically emerging content clusters like:

• Clean Bike Shots
• Racing & Action Shots
• Artwork & Conceptual Photography
• On-the-Road Stories
• MC Gear & Accessories

Built using:

• Computer Vision
• Deep Learning
• Dimensionality Reduction
• Clustering Algorithms

Outcome

• Data-driven insights into what drives engagement across Triumph’s social audience
• Optimized content strategy across campaigns and geographies
• AI segmentation now integrated into Triumph’s social listening toolkit

Each cluster was analyzed for engagement uplift—some reaching up to 7,745% higher than average.

Want to transform visual data into strategic insights?

Let’s build a visual segmentation solution for your brand.