We tackled two types of tasks: one with still images and another with video conten to demonstrate CVAT's capabilities in managing complex scenarios. This groundwork allows us to showcase how CVAT's functionalities can be leveraged to bring order and clarity to crowded scenes.
In the image annotation task, we encountered a scenario with numerous overlapping rectangles, posing the challenge of differentiating between objects. By adjusting settings like 'color by instance' and 'Selected opacity,' we were able to enhance visibility and distinguish each object with ease.
Transitioning to video annotation, we explored how to efficiently track objects across multiple frames, even amidst crowded scenes. Key features like the 'Switch hidden property' and filtering options were used to maintain focus on specific objects, simplifying the tracking process.
While these tips might seem straightforward, their impact on the accuracy and speed of annotation is significant. We invite you to watch our tutorial to see these strategies in action and experience the efficiency of CVAT firsthand.
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