๐ About DeepAnnotate.ai
DeepAnnotate.ai is an open AI research organization building large-scale multimodal datasets, automated annotation pipelines, and AI infrastructure for next-generation Embodied AI, Robotics, Computer Vision, and Physical Intelligence.
We transform raw videos into research-ready datasets enriched with multimodal annotations:
| ๐ฅ RGB Video |
๐ Depth |
โ 2D Hand Pose |
๐ฆพ 3D Hand Pose |
๐ฆ Object Detection |
| ๐ค HOI |
๐ Motion |
๐ฐ Pseudo IMU |
๐ฃ Trajectories |
๐ง Actions |
๐ Dashboard
| ๐ Datasets |
๐ค Research Areas |
๐ Modalities |
๐ Status |
| 2000+ |
15+ |
12+ |
๐ข Active |
๐ Featured Datasets
| Dataset |
Domain |
Status |
| ๐ Car Driving Multimodal v1 |
Autonomous Driving |
๐ข Public |
| ๐ Cattle Farming Multimodal v1 |
Agriculture |
๐ข Public |
| ๐ฅฌ Vegetable Harvesting Multimodal v1 |
Smart Farming |
๐ข Public |
| ๐ Household Multimodal v1 |
Household Robotics |
๐ข Public |
| ๐ญ Industry Multimodal v1 |
Industrial Automation |
๐ข Public |
2000+ dataset samples across the five domains above, growing weekly.
๐ง Research Focus
| ๐ค Robotics |
๐ฆพ Physical AI |
๐ Computer Vision |
๐ฆ Object Detection |
โ Hand Pose |
| ๐ค HOI |
๐ถ Activity Recognition |
๐ฐ Motion Analytics |
๐ Trajectory Analysis |
๐ง VLMs |
| โก VLA Models |
๐ Embodied Intelligence |
๐ Multimodal Learning |
๐ Autonomous Systems |
๐ฑ Agri AI |
โก Our Vision
Build one of the largest open ecosystems for multimodal datasets, annotation pipelines, and AI infrastructure powering the next generation of Physical AI and Robotics.
๐ฆ Featured Dataset Collection
| ๐ Car Driving |
๐ Cattle Farming |
๐ฅฌ Vegetable Harvesting |
| Autonomous Driving ยท RGB ยท Depth ยท Hand Pose |
Agriculture ยท Human Activity ยท Object Interaction |
Agricultural Robotics ยท Harvest Activities |
| Open Dataset โ |
Open Dataset โ |
Open Dataset โ |
| ๐ Household |
๐ญ Industry |
๐ Coming Soon |
| Daily Activities ยท Manipulation Tasks |
Industrial Operations ยท Assembly ยท Automation |
Warehouse ยท Healthcare ยท Retail ยท Construction |
| Open Dataset โ |
Open Dataset โ |
โ |
๐ Dataset Domains
| Domain |
Status |
Dataset |
| ๐ Autonomous Driving |
โ
Released |
Car Driving |
| ๐ Agriculture |
โ
Released |
Cattle Farming |
| ๐ฅฌ Smart Farming |
โ
Released |
Vegetable Harvesting |
| ๐ Household Robotics |
โ
Released |
Household |
| ๐ญ Industrial AI |
โ
Released |
Industry |
| ๐ฆ Warehousing |
๐ง Coming Soon |
v2 |
| ๐ Construction |
๐ง Coming Soon |
v2 |
| ๐ฅ Healthcare |
๐ง Coming Soon |
v2 |
| ๐ Retail |
๐ง Coming Soon |
v2 |
| ๐ณ Kitchen Robotics |
๐ง Coming Soon |
v2 |
๐ฅ Annotation Modalities
| ๐ฅ RGB Video |
๐ Depth |
โ 2D Hand Pose |
๐ฆพ 3D Hand Pose |
| ๐ฆ Object Detection |
๐ค HOI |
๐ Motion Statistics |
๐ฐ Pseudo IMU |
| ๐ฃ Trajectories |
๐ง Action Recognition |
๐ฌ Semantic Actions |
๐ Metadata |
| ๐ CSV |
๐พ HDF5 |
๐ Manifest |
๐ Reports |
๐ Dataset Growth โ 2026
| Domain |
Progress |
| Car Driving |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Household |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Industry |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Agriculture |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Vegetable Harvesting |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Warehouse |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Healthcare |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Construction |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Retail |
โโโโโโโโโโโโโโโโโโโโโโโ |
| Manufacturing |
โโโโโโโโโโโโโโโโโโโโโโโ |
Every dataset follows a unified annotation standard, making them interoperable for robotics, Physical AI, and multimodal learning.
๐ฌ Research Domains
| ๐ค Robotics |
๐๏ธ Computer Vision |
๐ฆพ Physical AI |
๐ง Foundation Models |
| Robot Learning ยท Manipulation ยท Navigation |
Detection ยท Tracking ยท Segmentation |
Perception ยท Reasoning ยท Interaction |
Vision ยท Language ยท Action |
โ๏ธ Annotation Pipeline
RGB Videos โ Hand Detection โ Object Detection โ Interaction Engine โ Motion Analytics โ Depth Estimation โ Activity Recognition โ ๐ฆ Research-Ready Dataset
๐ Technology Stack
๐ DeepAnnotate Ecosystem
DeepAnnotate.ai โ Dataset Generation Platform โ ๐ค Robotics ยท ๐ Driving ยท ๐ญ Industry ยท ๐พ Agriculture ยท ๐ Household ยท ๐ฆ Warehousing ยท ๐ฅ Healthcare โ ๐ง Physical AI
๐ Current Capabilities
| Capability |
Status |
Capability |
Status |
| ๐ฅ RGB Processing |
โ
|
๐ฃ Trajectory Generation |
โ
|
| ๐ Depth Estimation |
โ
|
๐ง Activity Recognition |
โ
|
| โ 2D Hand Pose |
โ
|
๐ฌ Semantic Actions |
โ
|
| ๐ฆพ 3D Hand Pose |
โ
|
๐พ HDF5 Export |
โ
|
| ๐ฆ Object Detection |
โ
|
๐ Metadata Generation |
โ
|
| ๐ค Human Object Interaction |
โ
|
๐ Motion Statistics |
โ
|
| ๐ฐ Pseudo IMU |
โ
|
|
|
๐ 2026 Research Roadmap
| Quarter |
Focus |
Status |
| Q1 |
๐ Autonomous Driving |
โ
Completed |
| Q1 |
๐ Agriculture |
โ
Completed |
| Q2 |
๐ฅฌ Vegetable Harvesting |
โ
Completed |
| Q2 |
๐ Household Activities |
โ
Completed |
| Q2 |
๐ญ Industrial Operations |
โ
Completed |
| Q3 |
๐ฆ Warehouse Robotics |
๐ง In Progress |
| Q3 |
๐ Construction Intelligence |
๐ง Planned |
| Q3 |
๐ฅ Healthcare Assistance |
๐ง Planned |
| Q4 |
๐ Retail Intelligence |
๐ง Planned |
| Q4 |
๐ค Robot Demonstrations |
๐ง Planned |
๐ Ecosystem Progress
| Datasets |
Models |
Spaces |
Documentation |
SDK |
| 2000+ samples |
โโโโโโโโโโ 1/6 |
โโโโโโโโโโ 0/5 |
โโโโโโโโโโโโโโโโโโ 40% |
โโโโโโโโโโโโโโโโโโ 25% |
๐ค Upcoming Foundation Models
| ๐ง DeepAnnotate-VLM |
๐ฆพ DeepAnnotate-Hand |
โก DeepAnnotate-Action |
| Vision Language Model |
Hand Pose Foundation Model |
Action Understanding |
| ๐ World Model |
๐ Multimodal Encoder |
๐ค Robot Learning |
| Physical AI |
Vision + Motion |
Coming Soon |
๐ Hugging Face Spaces โ Coming Soon
| Space |
Status |
Space |
Status |
| ๐ฅ Dataset Explorer |
๐ง |
๐ Motion Analytics |
๐ง |
| ๐ค Robot Demo |
๐ง |
๐ Depth Viewer |
๐ง |
| โ Hand Pose Viewer |
๐ง |
๐ฆ Dataset Browser |
๐ง |
๐ Why DeepAnnotate.ai?
Unlike traditional datasets, DeepAnnotate.ai focuses on creating complete multimodal representations of human activities, combining perception, interaction, motion, semantics, and structured metadata into unified research-ready datasets.
Our long-term objective is to support research across: ๐ค Robotics ยท ๐ฆพ Physical AI ยท ๐ Autonomous Systems ยท ๐ Computer Vision ยท ๐ง Vision-Language-Action Models ยท ๐ฆ Manipulation ยท ๐ฑ Agriculture ยท ๐ญ Smart Industry
๐ Long-Term Vision
RGB Video โ Multimodal Annotation โ Open Datasets (2000+) โ Foundation Models โ Physical AI Systems โ Autonomous Intelligent Robots
๐ Open Research Philosophy
DeepAnnotate.ai believes open datasets and reproducible research accelerate innovation. We are committed to publishing:
๐ฆ Open Datasets ยท ๐ค Foundation Models ยท ๐ Documentation ยท ๐ Annotation Pipelines ยท ๐ Interactive Demos ยท ๐ Benchmarks ยท ๐ Research Publications
๐ค Collaborate With Us
| Community |
Opportunities |
| ๐ Researchers |
Benchmarking, Publications |
| ๐ค Robotics Labs |
Dataset Contributions |
| ๐ข Industry |
Real-world Data Collection |
| ๐ฏ Students |
Open Source Contributions |
| ๐ Organizations |
Research Partnerships |
๐ Resources
| ๐ค Hugging Face |
๐ป GitHub |
๐ Website |
| Browse our 2000+ public datasets |
Open-source tools, SDKs & docs |
Project updates & technical docs |
๐ Organization Highlights
| ๐ฆ 2000+ |
๐ค Physical AI |
๐ Open |
๐ Growing |
| Public Datasets |
Research |
Research |
Ecosystem |
โค๏ธ Support DeepAnnotate.ai
โญ Follow the organization ยท โญ Star our repositories ยท โญ Cite our datasets ยท โญ Share with the community ยท โญ Contribute improvements
๐ฌ Contact
