METHOD AND SYSTEM FOR AUTOMATED PLANT IMAGE LABELING
The invention relates to a computer-implemented method comprising:- acquiring (406) first training images (108) using a first image acquisition technique (104), each first training image depicting a plant-related motive;- acquiring (402) second training images (106) using a second image acquisition...
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| creator | BAUER, Christoph DAHL, Ludmilla JEBSEN, Christian FRITZSCH, Christoph |
| description | The invention relates to a computer-implemented method comprising:- acquiring (406) first training images (108) using a first image acquisition technique (104), each first training image depicting a plant-related motive;- acquiring (402) second training images (106) using a second image acquisition technique (102), each second training image depicting the motive depicted in a respective one of the first training images;- automatically assigning (404) at least one label (150, 152, 154) to each of the second training images;- spatially aligning (408) the first and second training images which are depicting the same one of the motives into an aligned training image pair;- training (410) a machine-learning model (132) as a function of the aligned training image pairs and the labels, wherein during the training the machine-learning model (132) learns to automatically assign one or more labels (250, 252, 254) to any test image (205) acquired with the first image acquisition technique which depicts a plant-related motive; and- providing (412) the trained machine-learning model (132). |
| format | Patent |
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fre ; ger</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>BAUER, Christoph</creatorcontrib><creatorcontrib>DAHL, Ludmilla</creatorcontrib><creatorcontrib>JEBSEN, Christian</creatorcontrib><creatorcontrib>FRITZSCH, Christoph</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BAUER, Christoph</au><au>DAHL, Ludmilla</au><au>JEBSEN, Christian</au><au>FRITZSCH, Christoph</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD AND SYSTEM FOR AUTOMATED PLANT IMAGE LABELING</title><date>2022-10-26</date><risdate>2022</risdate><abstract>The invention relates to a computer-implemented method comprising:- acquiring (406) first training images (108) using a first image acquisition technique (104), each first training image depicting a plant-related motive;- acquiring (402) second training images (106) using a second image acquisition technique (102), each second training image depicting the motive depicted in a respective one of the first training images;- automatically assigning (404) at least one label (150, 152, 154) to each of the second training images;- spatially aligning (408) the first and second training images which are depicting the same one of the motives into an aligned training image pair;- training (410) a machine-learning model (132) as a function of the aligned training image pairs and the labels, wherein during the training the machine-learning model (132) learns to automatically assign one or more labels (250, 252, 254) to any test image (205) acquired with the first image acquisition technique which depicts a plant-related motive; 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| subjects | CALCULATING COMPUTING COUNTING PHYSICS |
| title | METHOD AND SYSTEM FOR AUTOMATED PLANT IMAGE LABELING |
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