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CVAT
Labelbox
Remotasks
Scale AI
SuperAnnotate
SuperviselyNo subject matter listed
Geospatial Tiled Imagery
ImageI led the validation of geospatial data for autonomous navigation systems, correcting sensor errors through analysis in Google Maps and LidarTopDown. I train AI models to interpret 2D/3D environments, improving accuracy by up to 80%. Expert in annotating 2D images and videos with bounding boxes, polylines and polygons, object tracking and more.
Information in lidar points or point clouds, geospatial boundaries, and manageable routes and paths. Minimum acceptable quality: 95%. Annotation types: polylines and polygons with corresponding attributes and links.
A robotic arm that took products from a basket and stored them in warehouses; the program defined the product selected by the arm and kept it recognized until it entered its cubicle.
The project was responsible for recognizing all vehicles on the road in both directions; they were also categorized by size, model and weight, lights on and off, and whether the vehicle's windows were translucent or not visible.
Bachelor's Degree, N/A
Basic Training, Basic Training
Héctor Q. hasn’t added any Work History to their OpenTrain profile yet.
