Traffic Sign Datasets for ADAS and Autonomous Driving
Geographically diverse traffic sign datasets with detection and classification annotations. Covering regional sign standards, damage states, and real-world occlusion for production perception systems.
20+
Years in AI training data
1,000+
Language locales
1M+
Hours of video annotated
ISO
27001 certified
The Challenge
Traffic Signs Vary by Country and Condition
GTSRB, LISA, and Mapillary Traffic Signs advanced sign recognition research. Production ADAS requires regional coverage and real-world condition diversity.
Traffic sign detection systems must handle every sign variant in your deployment geography, under all illumination and weather conditions. European ADAS systems trained on GTSRB fail on Asian or North American signs with different shapes, colors, and symbols.
Public traffic sign datasets suffer from regional lock-in (primarily German or US signs) and lack degradation coverage: damaged, faded, and partially occluded signs that production vehicles encounter daily.
LXT collects custom traffic sign datasets targeting your deployment geography with the full sign taxonomy for that region. We cover damage states, lighting extremes, and occlusion patterns your ADAS or mapping system will encounter in production.
Why Teams Upgrade
Limitations of Public Traffic Sign Datasets
Standard benchmarks serve research well. Production deployments need more.
| Dataset | Primary Limitation | Impact |
|---|---|---|
| GTSRB | 43 German sign classes only; no weather or lighting variation; no partial occlusion | Regional lock |
| LISA | US signs only; limited to California roads; small-scale dataset | Geographic bias |
| Mapillary Traffic Sign | Crowdsourced quality variation; inconsistent annotations; limited damage state coverage | Quality variance |
| TT100K | Chinese sign dataset; limited to Tencent mapping vehicle routes | Narrow coverage |
| BTSD | Belgian signs only; single-country coverage; no temporal or damage variation | Regional lock |
Not sure which specs you need?
Our data specialists help you scope the right dataset for your model architecture.
Configurable Specifications
Specs Built Around Your Model
Public datasets come fixed. Yours is configured for your architecture, environment, and use case.
Geographic Coverage
Regional Sign Standards
- European Standards: Vienna Convention signs for EU, UK, Scandinavian variants
- North America: MUTCD US, Canadian MUTCD, and Mexican standards
- Asia Pacific: Japanese JIS, South Korean, Australian, and ASEAN regional standards
Condition Variation
Appearance Diversity
- Illumination: Bright sun, low angle, night with headlights, and overcast
- Damage States: Faded, vandalized, bent, and partially missing signs
- Occlusion Types: Vegetation, shadow, vehicle, and snow occlusion patterns
Annotation Format
Detection Ground Truth
- Bounding Boxes: Class, sub-class, and instance ID per sign
- Keypoints: Corner and center points for precise alignment
- Attributes: Damage rating, occlusion level, and distance estimate
Need a custom configuration?
We've built datasets across dozens of domains and use cases. Let's scope yours.
Capturing Complexity
Edge Cases in Traffic Sign Recognition
High-accuracy models handle rare attributes that public datasets miss.
Damaged and Degraded Signs
Faded paint, bullet holes, graffiti, and physical bending alter appearance significantly. Production systems must remain robust to all common damage states.
Temporary and Non-Standard Signs
Construction zone temporary signs, event signage, and regional non-standard signs that national datasets exclude but vehicles encounter in deployment.
Stacked and Grouped Signs
Multiple signs on a single pole or adjacent poles that require multi-label detection with spatial relationship modeling.
Night and Adverse Weather Visibility
Retroreflective sign behavior under headlight illumination versus ambient light, and sign visibility through rain, fog, and snow on the lens.
Ground Truth Quality
Human-in-the-Loop Annotation
Precise annotation bridges raw data and learnable signal. Expert annotators deliver precision automated tools can't match.
Bounding Box and Keypoint Annotation
Class-labeled bounding boxes with sub-class attributes, corner keypoints, and occlusion/damage state flags per sign instance.
Semantic Segmentation Masks
Pixel-level sign boundary masks for precise localization and sign content segmentation in high-resolution mapping applications.
Attribute Labeling
Per-sign attributes including damage rating (0-3), estimated distance, mounting height, and reflectivity level for conditional detection models.
Industry Applications
Traffic Sign Datasets for Your Domain
Custom taxonomies and collection protocols for specific deployment contexts.
ADAS Level 2+
Speed limit, stop, and hazard sign detection
HD Mapping
Digital road sign inventory creation
Autonomous Vehicles
Full sign taxonomy parsing for route compliance
Mobile Mapping
Fleet-based sign inventory and change detection
Smart Infrastructure
Sign condition monitoring and replacement scheduling
Global ODD Expansion
Target-country sign taxonomy collection
Commercial Fleet
Route compliance and HGV sign monitoring
Navigation Apps
Sign-based POI and routing data enrichment
Compliance & Ethics
Secure and Ethical Data Collection
Data collection involving people and sensitive content requires robust security, compliance, and ethical protocols at every stage.
Global Demographic Reach
Collection across 1,000+ locales and diverse demographics to prevent algorithmic bias in your deployed models.
ISO 27001 Certified
Sensitive projects processed in certified secure facilities meeting the highest information security standards.
GDPR & Privacy Compliance
All collection and annotation protocols vetted for consent and privacy. Legally robust for global deployment.
Frequently Asked Questions
Traffic Sign Dataset FAQs
Which countries' sign standards can you cover?+
We cover sign standards for 60+ countries including all EU member states, US MUTCD, Canadian MUTCD, Japanese JIS, Korean, Australian, and ASEAN regional standards. Custom geographic scopes are available.
Can you capture all sign classes including rare ones?+
Yes. We plan targeted collection to ensure minimum instance counts for each class including rare and temporary signs. We provide class distribution reports before delivery.
How do you handle damage and degradation variation?+
We capture signs in naturally occurring degradation states and supplement with staged damaged-sign photography for classes with insufficient natural occurrence of specific damage types.
What annotation depth do you provide?+
Standard delivery includes bounding boxes with class and sub-class labels. Premium tiers add polygon masks, corner keypoints, distance estimates, and per-instance attribute labels.
Can you provide video sequences for detection tracking models?+
Yes. We provide continuous drive-by video sequences with frame-level annotations for training detection models that use temporal context and tracking.
What does a custom traffic sign dataset cost?+
Projects range from $15K for single-country focused collections (10,000-50,000 instances) to $100K+ for multi-country comprehensive datasets with damage and condition variation.
Get Started
Scope Your Custom Traffic Sign Dataset
Share your target geographies, sign classes, and annotation requirements. Our ADAS data specialists will provide a detailed proposal within 48 hours.
Please provide us with the details of your inquiry and one of our team members will be in touch.
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