Smarter data for field-ready autonomy
LexData Labs accelerates robotics innovation with annotated visual datasets built for unstructured, real-world environments. We support machine learning for autonomous navigation, detection, and task automation in agriculture and beyond.
How we support robotics development
Whether you’re building autonomous tractors, warehouse robots, or delivery drones, we provide the data you need to help machines see and adapt in complex terrain.
Terrain & obstacle detection
Label crops, machinery, debris, and pathways with pixel-accurate segmentation—even in dusty or low-light scenes.
Environmental context awareness
Tag frames with visibility conditions like glare, shadows, or dust to improve model robustness.
Autonomy enablement
Train navigation and safety models with data grounded in real-world variability.
Specialized data services for robotics AI
We deliver field-tested datasets that reflect the dynamic environments where robotic systems operate.
Polygon-based object labeling
Draw complex, curved shapes around natural or man-made obstacles to train fine-grained models.
Temporal sequence annotation
Support motion-based modeling with time-linked annotations across video frames.
Scene condition tagging
Label frames based on time-of-day, dust levels, and visibility to simulate edge cases.
Why robotics innovators work with LexData Labs
Edge-case ready
Data that performs in tough, unstructured terrain
Operational insight
Context-aware annotations that support real-world conditions
Fast turnaround
Labeling services that keep pace with agile robotics teams
Let’s help your autonomous systems see—and succeed—in the field.
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