A managed vision intelligence service by Baaz
Real Human Work,
Robot-Ready Datasets
We capture your real-world tasks on wearable cameras, annotate every moment, and deliver structured, training-ready AI & robotics datasets - end to end, as a managed service.
- Hand detection accuracy
- 94%
- Action detection accuracy
- 92%
- Object detection accuracy
- 88%
- Training formats
- 7
Hand detection accuracy
Action detection accuracy
Object detection accuracy
Training formats
Exports to every major training format
Everything, Handled
From wearable capture to production-ready datasets - delivered as a managed service by Baaz. Every step automated, every label verified, every export ready for training with always on human in the loop.
Wearable Capture
Record real work exactly as it happens with smart glasses, helmet cams, or mobile devices. First-person (egocentric) footage is the richest signal for robot learning - and we handle the whole capture setup.
- Offline-capable, resumable field uploads
- Voice intent recorded alongside video
- Live streaming for remote supervision
AI Annotation Pipeline
A 7-model GPU stack understands every second of footage: a vision-language model narrates the action, detection models find every object and tool, segmentation traces pixel-accurate masks, and speech becomes searchable transcripts.
- Action + scene understanding per frame
- Open-vocabulary detection - not limited to fixed classes
- Hand tracking → 7-D end-effector state for robotics
Rich, Structured Labels
Every second carries objects with bounding boxes and masks, the action being performed, a scene description, the spoken transcript, and confidence scores - structured data your training code consumes directly.
- Objects · actions · transcripts · confidence
- Off-task seconds auto-flagged by curation
- Everything searchable across your library
Annotation Workspace
A full labeling studio for images and video frames: bounding boxes, polygons, semantic masks, keypoints and skeletons, and classification - with one-click AI smart polygons doing the tedious tracing.
- Click an object → AI finds the exact boundary
- Project types keep every dataset format-valid
- Keyboard-first review: label → save → next
Human Review & Curation
AI proposes, people verify. Every episode passes a review workspace with annotated playback, per-second quality timelines, and keep/exclude controls - so only clean, on-task data reaches your datasets.
- Frame-accurate annotated playback
- Reviewer overrides tracked & auditable
- Success/failure outcome labeling
Episode Intelligence
Individual seconds merge into complete task episodes: step-by-step workflows, the tools and objects involved, and knowledge graphs linking actions across your whole footage library. Long recordings split into task cycles automatically.
- Automatic task segmentation of long recordings
- Workflow steps with timing & tooling
- Cross-episode knowledge graph
Versioned Dataset Delivery
Datasets ship as immutable versions with train/valid/test splits, quality metrics, and one-click downloads in every major format - for computer vision and for robot learning.
- COCO · YOLO · Pascal VOC · PNG masks
- LeRobot v3 · RLDS · Parquet · JSONL
- Reproducible versions, secure delivery
Model Training
We don't stop at datasets. Train a production-ready detection, segmentation, keypoint or classification model on your labeled data - on our GPUs, with live progress - and download deployable model weights the same day.
- Train on Payana labels, episode data, or your own uploaded dataset
- Retrain anytime with more data - or fine-tune your existing model
- Honest accuracy metrics reported with every trained model
Private by Design
Your footage and datasets live on dedicated, private cloud infrastructure - isolated storage, locked-down access, and time-limited download links. Your data trains your models, nobody else's.
- Private, isolated storage - never a public pool
- Isolated processing on dedicated infrastructure
- Never used to train third-party models
How It Works
Data collection, annotation, and delivery - take the full pipeline, or just the piece you need. We collect for you, annotate your own data, or both.
Data collection
Two ways in: send us the images and video you already have, or we collect for you - wearable and egocentric capture, field recording, and frames extracted from your footage at whatever rate the project needs.
You provide itOr we capture itImages · video · video → framesAnnotation
human in the loopTurning raw pixels into machine-readable labels: bounding boxes for detection, pixel-accurate polygons and masks for segmentation, keypoints and skeletons for pose, classes and persistent tracking IDs across video. Every label is drawn and verified by our annotation team before it counts.
Boxes · polygons · masksKeypoints · tracking IDsEvery label verifiedDelivery
Your labeled data ships as a versioned dataset with train/valid/test splits and quality checks - in the format you train with, ready for your pipeline the day it lands.
COCOYOLOPascal VOCPNG masksLeRobotRLDS
REC · headmount00:42From Camera to Robot, In One Take
What Labeled Data Looks Like
Every image and frame comes back annotated - bounding boxes, pixel-accurate polygons, and keypoints - exactly as your training code needs them.
Bounding boxes with class labels and confidence scores - exported as COCO JSON, YOLO TXT or Pascal VOC.
AI smart polygons trace exact object boundaries - one click instead of twenty vertices, exported as COCO segmentation or PNG masks.
Skeleton keypoints track hands and tools through every frame - the signal that turns human work into robot-trainable actions.
Powering the Future of AI
Real-world human activity data unlocks capabilities that synthetic data cannot replicate.
One Service, Humans at the Core
Self-serve tools leave the labeling to your team. Traditional vendors stop at raw annotations. Payana puts trained annotators on your data from collection to delivery - every label drawn and verified by people, then shipped as versioned datasets in every major training format.
| Capability | Payana | Self-serve tools | Labeling vendors | Data collection vendors |
|---|---|---|---|---|
| Data collection done for you (wearable / field capture)Egocentric and field capture when you don't have data yet | ||||
| Labeling done for youOur team + AI pipeline annotate; you review and receive datasets | ||||
| AI-assisted annotation (one-click smart polygon)One click finds the exact object boundary - on our own GPUs | ||||
| Boxes, polygons, segmentation, keypoints, classification | ||||
| Video → sampled frames for image labeling | ||||
| Automatic annotation of wearable / egocentric footage7-model GPU pipeline: vision-language model, detection, pixel-accurate masks, speech, hand pose | ||||
| CV exports: COCO JSON · YOLO · Pascal VOC · PNG masks | ||||
| Robot-learning exports: LeRobot · RLDS · Open X-Embodiment | ||||
| Model training - labeled data to deployable model weightsTrained on our GPUs from your labels or your own dataset; retrain or fine-tune with more data anytime | ||||
| Dataset versioning with train/valid/test splits | ||||
| Human review & curation included in the price | ||||
| Your data on dedicated private infrastructurePrivate, isolated infrastructure; never pooled, never used to train third-party models |
Data collection done for you (wearable / field capture)
Egocentric and field capture when you don't have data yet
Labeling done for you
Our team + AI pipeline annotate; you review and receive datasets
AI-assisted annotation (one-click smart polygon)
One click finds the exact object boundary - on our own GPUs
Boxes, polygons, segmentation, keypoints, classification
Video → sampled frames for image labeling
Automatic annotation of wearable / egocentric footage
7-model GPU pipeline: vision-language model, detection, pixel-accurate masks, speech, hand pose
CV exports: COCO JSON · YOLO · Pascal VOC · PNG masks
Robot-learning exports: LeRobot · RLDS · Open X-Embodiment
Model training - labeled data to deployable model weights
Trained on our GPUs from your labels or your own dataset; retrain or fine-tune with more data anytime
Dataset versioning with train/valid/test splits
Human review & curation included in the price
Your data on dedicated private infrastructure
Private, isolated infrastructure; never pooled, never used to train third-party models
Frequently Asked Questions
Payana is the managed vision intelligence service by Baaz. We turn raw images, videos, and wearable-camera footage into training-ready datasets: AI-assisted labeling, human review, dataset versioning with train/valid/test splits, and export to COCO JSON, YOLO, Pascal VOC, PNG masks, LeRobot, RLDS, Parquet and JSONL.
Connect with us
Book an intro call
Pick a slot that works for you - we'll walk through your use case, the capture setup, and the dataset formats you need.
July 2026
Wed 22
No open slots on this date.
Start your dataset
Ready for Better Training Data?
Tell us the tasks and the format you need - the Baaz team captures, annotates, and delivers your dataset end to end.