To provide learning data having a high learning efficiency to be used for learning an object detection AI model.SOLUTION: The method for generating learning data detects a region of interest based on the importance for a determination result in determining an object type for a learning data candidate image by a plurality of AI models having different characteristics, and selects the learning data candidate image as the learning data when the amount of change in the region of interest between the AI models is larger than a threshold value.SELECTED DRAWING: Figure 1
【課題】物体検出AIモデルの学習に用いられる学習効率の高い学習データを提供する。【解決手段】学習データ作成方法は、特性が異なる複数のAIモデルによる学習データ候補画像に対する物体種別の判定において、判定結果への重要度に基づき注目領域を検出し、前記AIモデル間の前記注目領域の変化量が閾値より大きい場合に、前記学習データ候補画像を学習データとして選択する。【選択図】図1
LEARNING DATA GENERATING METHOD, LEARNING DATA GENERATING APPARATUS, AND LEARNING DATA GENERATING SYSTEM
学習データ作成方法、学習データ作成装置、及び学習データ作成システム
2024-11-08
Patent
Electronic Resource
Japanese
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
MAP DATA GENERATING METHOD, MAP DATA GENERATING APPARATUS, AND MAP DATA GENERATING PROGRAM
European Patent Office | 2023
|APPARATUS FOR GENERATING TRAFFIC FLOW LEARNING DATA AND METHOD THEREOF
European Patent Office | 2024
|