L.R. Studio - Data & Image Annotation

We are Data and Image Annotators experienced in creating datasets for autonomous vehicles and other industries like fashion, retail, security, and AI-powered surveillance systems.

The tools we have experience with:

• Bounding Box Annotation.
• Polygon Annotation
• Semantic Segmentation.
• Video Timestamping.
• Superpixels Annotation.
• Landmark/Key-Point Annotation.
• Line Annotation (for example road lines).
• Cuboid Annotation (3D Bounding Boxes).

Data Annotation platforms most used by our team:

• LabelImg.
• LabelMe.
• LabelBox.
• CVAT.
• VOTT.
• ImgAnnotationLab.
• Makesense.
• Google Earth Pro.
• Roboflow.

Most projects we have participated in had the goal to identify faces expression, the orientation of body and face, identifying the state of crop, lawn estimates, roads detection, and teach AI to recognize everything that may be on the road or near it, from a small traffic sign to a building.

Let's discuss further details, needs, and strategies to make quality annotations for your dataset.

Good luck with your project!