G4_01136.mp4

🎥 This video is often cited in papers involving or Transformers designed for video understanding. It serves as a "real-world" challenge because of motion blur, hand occlusions, and the visual complexity of a cluttered kitchen.

High frequency of hand-to-object contact (e.g., opening jars, slicing vegetables, pouring liquids).

If you tell me more about your specific project, I can provide: for this specific timestamp (if available) Code snippets for loading GTEA Gaze+ videos in Python Related research papers that utilize the Group 4 dataset g4_01136.mp4

Understanding the logical sequence of steps required to complete a complex task. Usage in AI Benchmarking

Typically involves preparing a specific meal, such as making a sandwich, salad, or tea. 🎥 This video is often cited in papers

The video belongs to a collection designed to help AI models understand how humans perform daily tasks. It was filmed using head-mounted cameras (like GoPro or specialized eye-tracking glasses) to capture exactly what the subject sees. GTEA Gaze+ Perspective: Egocentric (First-Person) Primary Focus: Meal preparation and kitchen activities

Often includes synchronized gaze data (where the person is looking) Content and Activity If you tell me more about your specific

Identifying exactly when an action (like "cutting") starts and ends.