Developer Resources
Docs & Guides
Everything you need to integrate Egosense datasets into your robot learning pipeline.
Technical
API Reference
Complete documentation for integrating Egosense datasets into your training pipeline. Includes authentication, endpoints, and code examples.
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Sample Dataset
Download a sample pack to evaluate data quality, annotation format, and pipeline compatibility before committing.
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Integration Guide
Step-by-step instructions for loading Egosense data into popular frameworks like PyTorch, TensorFlow, and JAX.
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Research & Publications
Academic papers, benchmarks, and research insights related to egocentric video data and robot learning.
Explore ResearchData Format
Structured for
machine learning.
Our datasets follow a consistent JSON schema designed for easy integration with popular ML frameworks. Each annotation includes temporal boundaries, action labels, and confidence scores.
RT-X CompatibleEgo4D FormatVLA Ready
annotation_sample.json
{
"version": "1.0.1",
"task_id": "dishwasher-unload-001",
"taxonomy": "egosense-home-v1",
"actions": [
{
"timestamp": "00:02.4 - 00:05.1",
"verb": "open",
"noun": "dishwasher_door",
"confidence": 0.95
},
{
"timestamp": "00:05.1 - 00:08.3",
"verb": "pick_up",
"noun": "plate",
"confidence": 0.92
}
],
"metadata": {
"region": "TR",
"environment": "kitchen",
"device": "iPhone 14 Pro"
}
}