Owl Tracking

What is Owl Tracking ?

Owl Tracking is a powerful foundation model designed for zero-shot object tracking in videos. It enables users to annotate objects in a video based on provided labels, making it a versatile tool for tracking objects across frames without requiring per-model training.

Features

• Zero-shot capability: Track objects without additional training for each new object.
• Multi-object support: Annotate and track multiple objects simultaneously in a single video.
• Customizable labels: Define and apply user-provided labels to track specific objects.
• Long video handling: Efficiently process and track objects in long-form video content.
• User-friendly interface: Streamlined workflow for easy video upload, label application, and tracking.
• Integration-ready: Designed to integrate with existing computer vision workflows and systems.

How to use Owl Tracking ?

1. Define your labels: Clearly specify the objects you want to track (e.g., "cat," "car").
2. Upload your video: Import the video file you wish to analyze.
3. Select frames: Choose the start and end frames for tracking.
4. Apply labels: Annotate the objects of interest in the selected frames.
5. Run tracking: Let Owl Tracking process the video and track the annotated objects across frames.
6. Review results: Examine the tracking output and refine labels or parameters as needed.

Frequently Asked Questions

1. Can Owl Tracking handle long videos?
Yes, Owl Tracking is optimized to efficiently process long-form video content, ensuring accurate object tracking throughout.

2. How do I change the labels after tracking has started?
While Owl Tracking is designed for zero-shot tracking, labels can be adjusted mid-process by re-annotating key frames and re-running the tracking.

3. Does the model require retraining for new objects?
No, Owl Tracking is built as a foundation model, enabling zero-shot tracking for new objects without requiring retraining.