Build Better AI with Real-World Hand Interaction Data
We provide a **high-quality, large-scale dataset for hand tracking AI and dexterous manipulation**, designed to accelerate the development of next-generation computer vision and robotics systems.
Our dataset is built for teams working on:
* Hand tracking AI systems
* Hand pose estimation models
* Gesture recognition engines
* Robot manipulation and dexterous control
Whether you're a startup, research lab, or enterprise company, this dataset gives you the **precision, scale, and temporal depth** required to train robust models.
---
## What Makes This Dataset Different?
Unlike generic datasets, our solution focuses on **real-world hand interaction scenarios** with rich temporal and motion intelligence features.
### Key Features:
### 1. Advanced Hand Tracking Dataset
* 21 keypoints per hand (MediaPipe-style: wrist, fingers, tips)
* High visibility scores and consistent tracking quality
* Frame-by-frame structured data (JSONL format)
Perfect for:
* Hand tracking AI
* Real-time tracking systems
* AR/VR applications
---
### 2. Hand Pose Estimation Dataset with Temporal Depth
* Sequential frames with timestamps (video-based data)
* Motion-aware annotations
* Temporal smoothing applied for stability
Ideal for:
* Hand pose estimation models
* Motion prediction
* Sequential deep learning (RNNs, Transformers)
---
### 3. Gesture Recognition Dataset (Dynamic & Real-World)
* Real motion sequences, not static snapshots
* Includes action labels and per-frame annotations
* Captures natural hand movements and transitions
Use cases:
* Gesture recognition AI
* Human-computer interaction
* Smart interfaces
---
### 4. Robot Manipulation Dataset (Dexterous Focus)
* Designed for real-world manipulation tasks
* Includes grip-type estimation (open, pinch, precision, etc.)
* Finger angles, velocities, and motion intelligence features
Perfect for:
* Robotics AI
* Dexterous hand manipulation
* Reinforcement learning environments
---
### 5. Motion Intelligence & Dexterous Features
Each frame includes advanced analytics such as:
* Finger joint angles (degrees)
* Grip type proxy (open, pinch, grasp…)
* Finger tip velocity and energy
* Hand activity classification (static, active, manipulation)
This makes the dataset especially valuable for:
* Robotics companies
* AI labs working on manipulation
* Advanced research in hand dynamics
---
## Dataset Scale & Quality
* 130,000+ high-quality frames
* Extracted from 140+ real-world videos
* Mean quality score > 0.97
* High landmark visibility (> 0.95)
This ensures:
* Reliable training data
* Reduced noise
* Better model generalization
---
## Flexible Access Models
We offer multiple ways to use our dataset depending on your needs:
### 1. Ready-to-Use Dataset
* Instant download
* Ideal for individuals, researchers, and small teams
---
### 2. Custom Dataset (On-Demand)
* Tailored data based on your requirements
* Specific actions, objects, or environments
---
### 3. Continuous Data Pipeline (Enterprise)
* Weekly or monthly data delivery
* Scalable dataset expansion
* Designed for production AI systems
---
### 4. SaaS Data Extraction Platform (Coming Soon)
* Generate your own datasets directly from your videos
* Fully automated pipeline
* Built for scalability and speed
---
## Why Choose Us?
We are not just selling a dataset.
We provide a **complete data pipeline for hand tracking AI and robot manipulation systems**, enabling you to:
* Train faster
* Improve accuracy
* Scale your models efficiently
---
## Get Started
We offer an **initial high-quality dataset batch** for evaluation, allowing you to test performance before committing to larger volumes.
👉 Contact us to request a sample or discuss your specific needs.
---
## Final Note
If you're working on:
* Hand tracking AI
* Hand pose estimation
* Gesture recognition
* Robot manipulation
This dataset is built specifically for you.
Let your AI models learn from **real, structured, high-quality hand interaction data**.