70K+ Road Sign Images | AI Training Data | Object Detection Data | Annotated imagery data | Global Coverage
Overview
70K+ Road Sign Images | AI Training Data | Object Detection Data | Annotated imagery data | Global Coverage is an image dataset. Typical applications include object detection and autonomous driving. Relevant sectors: AI & Machine Learning and Education. The listing mentions classification labels. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions classification labels.
This dataset features over 70,000 high-quality images of road signs sourced from photographers worldwide. Tailored for AI and machine learning applications, it offers a richly annotated and globally diverse collection of traffic sign imagery essential for autonomous systems and transportation analytics. Key Features: 1. Comprehensive Metadata: the dataset includes full EXIF data such as aperture, ISO, shutter speed, and focal length. Each image is annotated with sign type, visibility conditions, mounting context, and surrounding environment. This makes it ideal for training models in classification, object detection, and recognition under varied conditions. Popularity metrics, based on performance on our proprietary platform, are also included. 2. Unique Sourcing Capabilities: collected through a proprietary gamified platform for photographers, including competitions focused on road signs and transportation infrastructure. Custom datasets can be generated on-demand within 72 hours for specific sign types (e.g., stop, yield, pedestrian crossing), regions, or environmental conditions (e.g., fog, night, damaged signs). 3. Global Diversity: contributions from over 100 countries ensure the inclusion of road signs from a wide range of regulatory systems, languages, and design standards. The dataset covers urban, rural, and highway contexts, as well as temporary and construction signage. 4. High-Quality Imagery: includes high-resolution images suitable for fine-grained recognition a
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- Language
- —
- Volume
- 29k images
- Domain
- AI & Machine Learning +2
- Use case
- Object detection
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