Datasets:
File size: 1,467 Bytes
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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/*
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