Compared to traditional
annotation processes
Optimised combination
of manual and automatic
annotation
Custom-elaborated quality control protocols on a per-project basis
Annotators with domain-specific experience and knowledge
Pluggable on internal machine
learning pipelines
Disease detection, phenotyping, weed-crop classification and insect identification-classification are cases that require a highly-specialized ML pipeline and workforce.
We offer custom pluggable solutions for these cases, including experienced annotation teams and AI engineers to meet the most rigorous needs.
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The biomedical field is witnessing a complexification of use cases, including, but not limited to, small bone fracture detection, suspicious cell identification and orthopedic guidance systems for surgical applications.
Our ability and experience in processing various formats of images (incl. DICOM), combined with highly-specialized annotators, allow us to take on the most challenging cases in that field.
Satellite imagery and aerial-drone imagery are increasingly being enriched with meta-information, making it a valuable data source for decision-making.
Use cases are cross-domain and we have the expertise needed to create end-to-end solutions, with high security and confidentiality protocols, for domains such as defense, economic intelligence, and others.
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Recognising specific types of defects on electrical installations or detecting different types of leaks on pipelines requires experience and expertise in that domain.
Our team is able to create end-to-end solutions covering the different project requirements and quickly adapting to changing needs.
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We bring a combination of technical and business expertise in image annotation that allows us to deal with the most complex cases in computer vision.
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CEO
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CTO
Email:
info@datavlab.fr
Address:
Station F
5 Parvis Alan Turing
75013 Paris, France