{"language":[{"iso":"eng"}],"series_title":"Lecture Notes in Computer Science ","citation":{"chicago-de":"Besginow, Andreas, Sebastian Büttner und Carsten Röcker. 2020. Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. In: <i>22nd International Conference on Human-Computer Interaction</i>, 12203:178–192. Lecture Notes in Computer Science . Berlin: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-030-50344-4_14\">https://doi.org/10.1007/978-3-030-50344-4_14</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Besginow, Andreas</span> ; <span style=\"font-variant:small-caps;\">Büttner, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span>: Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. In: <i>22nd International Conference on Human-Computer Interaction</i>, <i>Lecture Notes in Computer Science </i>. Bd. 12203. Berlin : Springer, 2020, S. 178–192","havard":"A. Besginow, S. Büttner, C. Röcker, Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation, in: 22nd International Conference on Human-Computer Interaction, Springer, Berlin, 2020: pp. 178–192.","ufg":"<b>Besginow, Andreas/Büttner, Sebastian/Röcker, Carsten</b>: Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation, in: o. Hg.: 22nd International Conference on Human-Computer Interaction, Bd. 12203, Berlin 2020 (Lecture Notes in Computer Science ),  S. 178–192.","apa":"Besginow, A., Büttner, S., &#38; Röcker, C. (2020). Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. <i>22nd International Conference on Human-Computer Interaction</i>, <i>12203</i>, 178–192. <a href=\"https://doi.org/10.1007/978-3-030-50344-4_14\">https://doi.org/10.1007/978-3-030-50344-4_14</a>","mla":"Besginow, Andreas, et al. “Making Object Detection Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic Data Generation.” <i>22nd International Conference on Human-Computer Interaction</i>, vol. 12203, Springer, 2020, pp. 178–92, <a href=\"https://doi.org/10.1007/978-3-030-50344-4_14\">https://doi.org/10.1007/978-3-030-50344-4_14</a>.","ieee":"A. Besginow, S. Büttner, and C. Röcker, “Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation,” in <i>22nd International Conference on Human-Computer Interaction</i>, Copenhagen, Denmark, 2020, vol. 12203, pp. 178–192. doi: <a href=\"https://doi.org/10.1007/978-3-030-50344-4_14\">https://doi.org/10.1007/978-3-030-50344-4_14</a>.","bjps":"<b>Besginow A, Büttner S and Röcker C</b> (2020) Making Object Detection Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic Data Generation. <i>22nd International Conference on Human-Computer Interaction</i>, vol. 12203. Berlin: Springer, pp. 178–192.","chicago":"Besginow, Andreas, Sebastian Büttner, and Carsten Röcker. “Making Object Detection Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic Data Generation.” In <i>22nd International Conference on Human-Computer Interaction</i>, 12203:178–92. Lecture Notes in Computer Science . Berlin: Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-030-50344-4_14\">https://doi.org/10.1007/978-3-030-50344-4_14</a>.","short":"A. Besginow, S. Büttner, C. Röcker, in: 22nd International Conference on Human-Computer Interaction, Springer, Berlin, 2020, pp. 178–192.","ama":"Besginow A, Büttner S, Röcker C. Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. In: <i>22nd International Conference on Human-Computer Interaction</i>. Vol 12203. Lecture Notes in Computer Science . Springer; 2020:178-192. doi:<a href=\"https://doi.org/10.1007/978-3-030-50344-4_14\">https://doi.org/10.1007/978-3-030-50344-4_14</a>","van":"Besginow A, Büttner S, Röcker C. Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. In: 22nd International Conference on Human-Computer Interaction. Berlin: Springer; 2020. p. 178–92. (Lecture Notes in Computer Science ; vol. 12203)."},"publication_identifier":{"eisbn":["978-3-030-50344-4"],"isbn":["978-3-030-50343-7"]},"volume":12203,"main_file_link":[{"open_access":"1","url":"https://link.springer.com/chapter/10.1007/978-3-030-50344-4_14"}],"external_id":{"isi":["WOS:001298733900014"]},"keyword":["Object detection","Synthetic datasets","Machine learning","Deep learning"],"author":[{"last_name":"Besginow","full_name":"Besginow, Andreas","id":"61743","first_name":"Andreas"},{"last_name":"Büttner","full_name":"Büttner, Sebastian","first_name":"Sebastian","id":"61868"},{"full_name":"Röcker, Carsten","last_name":"Röcker","id":"61525","first_name":"Carsten"}],"date_updated":"2025-04-17T08:22:33Z","_id":"4097","year":"2020","publication_status":"published","title":"Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation","doi":"https://doi.org/10.1007/978-3-030-50344-4_14","place":"Berlin","conference":{"end_date":"2020-07-24","name":"22nd International Conference on Human-Computer Interaction","location":"Copenhagen, Denmark","start_date":"2020-07-19"},"page":"178-192","type":"conference","publication":"22nd International Conference on Human-Computer Interaction","publisher":"Springer","abstract":[{"text":"The capabilities of object detection are well known, but many projects don’t use them, despite potential benefit. Even though the use of object detection algorithms is facilitated through frameworks and publications, a big issue is the creation of the necessary training data. To tackle this issue, this work shows the design and evaluation of a prototype, which allows users to create synthetic datasets for object detection in images. The prototype is evaluated using YOLOv3 as the underlying detector and shows that the generated datasets are equally good in quality as manually created data. This encourages a wide adoption of object detection algorithms in different areas, since image creation and labeling is often the most time consuming step.","lang":"eng"}],"status":"public","intvolume":"     12203","department":[{"_id":"DEP5023"}],"oa":"1","user_id":"83781","date_created":"2020-11-26T14:10:04Z"}