| ---
|
| license: cc-by-nc-4.0
|
| task_categories:
|
| - video-classification
|
| - robotics
|
| tags:
|
| - egocentric
|
| - sim-to-real
|
| - agriculture
|
| - physical-ai
|
| - computer-vision
|
| ---
|
|
|
| # Banas AI: areca_plant_pot
|
|
|
| **Asset Title:** Multimodal Real-World Egocentric Video & Manipulation Dataset for Embodied AI
|
|
|
| **Banas AI** is a specialized data provider supplying real-world, first-person (egocentric) physical datasets for artificial intelligence development. We focus on capturing human manipulation, spatial navigation, and complex physical tasks from a first-person perspective.
|
|
|
| ## Target Use Cases
|
| 1. Humanoid Robot Training & Sim-to-Real Transfer
|
| 2. Large Multimodal Model (LMM) & Video Foundation Model Training
|
| 3. Spatial Computing, AR/VR Gesture & Environmental Understanding
|
| 4. Autonomous Navigation and Obstacle Avoidance
|
|
|
| ## Modalities & Technical Specs
|
| - **Video Format:** High-Definition MP4/MKV
|
| - **Sensor Streams:** 6-DoF IMU telemetry, LiDAR depth maps, eye-tracking vectors.
|
| - **Annotation Types:** Unlabeled raw video, timestamped action labels.
|
| - **Hardware Sources:** Meta Ray-Ban, GoPro, Custom head-mounted rigs.
|
|
|
| ### Legal & Compliance
|
| All data is ethically collected with explicit, signed biometric consent. Incidental PII is automatically blurred. Small sample datasets are distributed under **CC BY-NC** for evaluation purposes.
|
|
|
| *For enterprise licensing, contact **contact@banas-ai.com** or visit **https://www.banas-ai.com/*
|
| |
