Dataset Creation
DATASET CREATION
We provide high quality datasets tailored to your individual needs – from specification via collection, labeling, QA assessment until ready-to-use handover
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- OCR
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- SCENE UNDERSTANDING
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- 2D OBJECT DETECTION
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- SEMANTIC SEGMENTATION
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- 3D OBJECT DETECTION
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- SKELETON ANNOTATION
OUR APPROACH
We target the undersaturated parts of the AI value chain
- Specification
- Collection
- Quality Assurance
- QA Metrics
- Handover
- Focusing on the target of the dataset
- Tailored selection of the raw data and high data diversity
- Quality checks during the creation
- Useful and independent metrics
- Ready-to-use dataset handover
WE SUPPORT
IMAGE
SEQUENTIAL AND NON SEQUENTIAL
Aims to make the class prediction for an entire input image. To reach this goal each pixel is labeled with the specified color of its object.
OCR is a technology that specializes in recognizing all kinds of typed, handwritten or printed texts or characters and translating them into machine-encoded text.
Rectangles to enclose a specific object or region. Provides tracking of different classes like cars, pedestrians or signs.
Object tags provide specific information about an input image. Every object has its own requirements that need to be considered.
Full image tags provide general information about an input image such as environment and weather conditions.
Visualizes human movements for a static input image by annotating different body parts. Is used for predicting motion sequence of a pedestrian.
Aims to make the lane prediction for an entire input image. To reach this goal each lane is labeled with the specified color.
LIDAR
SEQUENTIAL AND NON SEQUENTIAL
Aims to make the class prediction in 3D LiDAR space. To reach this goal each point is labeled with the specified color of its object.
Object tags provide specific information about a LiDAR cloud. Every object has its own requirements that need to be considered.