{
"$type": "site.standard.document",
"description": "Described herein are methods of generating learning data to facilitate de-biasing the labeled location of an object of interest within an image. Methods may include: receiving sensor data, where the sensor data is a first image; determining reference corner locations of an object in the first imageā¦",
"path": "/patents/1289111",
"publishedAt": "2021-04-29T00:00:00.000Z",
"site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
"tags": [
"G05D1/0251",
"HERE Global B.V."
],
"textContent": "Described herein are methods of generating learning data to facilitate de-biasing the labeled location of an object of interest within an image. Methods may include: receiving sensor data, where the sensor data is a first image; determining reference corner locations of an object in the first image using image processing; generating observed corner locations of the object in the first image from the determined reference corner locations; generating a bias transformation based, at least in part, on a difference between the reference corner locations and the observed corner locations of the object in the first image; receiving sensor data from another image sensor of a second image; receiving observed corner locations of an object in the second image from a user; and applying the bias transformation to the observed corner locations of the object in the second image to generate de-biased corners for the object in the second image.",
"title": "METHOD AND APPARATUS FOR DE-BIASING THE DETECTION AND LABELING OF OBJECTS OF INTEREST IN AN ENVIRONMENT"
}