Video Annotation for Manufacturing Plant Object Recognition

Client's Challenge & Our Solution

A manufacturing company sought to enhance its object recognition model by fine-tuning 10 hours of 30 FPS annotated video footage dataset. The client needed to identify and label objects such as vests, helmets, forklifts, gloves, shoes, and more, across various conditions (indoor, outdoor, day, and night) on the video footage of its plant.

FutureBeeAI provided a comprehensive solution, utilizing our advanced video annotation tool and a dedicated crowd of expert annotators. Our team meticulously labeled each video frame with bounding boxes and the required object labels, ensuring precision and consistency across diverse video conditions. The entire annotation process was completed in just 5 weeks, ensuring timely delivery to meet the client's project goals.

Outcome & Features:

Annotated 10 hours of 30 FPS video footage frame-by-frame with bounding boxes for labels such as vest, helmet, forklift, gloves, and shoes.

Ensured accurate labeling across varied conditions, including indoor/outdoor and day/night scenes

Completed the video annotation project in 5 weeks with our expert crowd of annotators