'Yonkoma four-panel Cartoon Image' Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We introduce a dataset called the 'Yonkoma four-panel Cartoon Image' dataset. This dataset consists of both grayscale and color images of Yonkoma four-panel cartoons that were created between 1920 to 2022. The images were collected from a range of online sources, including digitized newspapers such as Chosun Ilbo and Dong-a Ilbo. We used the DarkLabel2.4 software to create bounding boxes for the Yonkoma four-panel images. Two types of formats were used for the boxes, which were 4x1 and 2x2. The labeling information for each image file was generated in the You Only Look Once (YOLO) format and saved in text files for deep learning. The dataset comprises a total of 161 image files in jpg format, which were randomly divided into training, validation, and testing sets using the Roboflow software' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["'Yonkoma four-panel Cartoon Image' Dataset"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We introduce a dataset called the 'Yonkoma four-panel Cartoon Image' dataset. This dataset consists of both grayscale and color images of Yonkoma four-panel cartoons that were created between 1920 to 2022. The images were collected from a range of online sources, including digitized newspapers such as Chosun Ilbo and Dong-a Ilbo. We used the DarkLabel2.4 software to create bounding boxes for the Yonkoma four-panel images. Two types of formats were used for the boxes, which were 4x1 and 2x2. The labeling information for each image file was generated in the You Only Look Once (YOLO) format and saved in text files for deep learning. The dataset comprises a total of 161 image files in jpg format, which were randomly divided into training, validation, and testing sets using the Roboflow software' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We introduce a dataset called the 'Yonkoma four-panel Cartoon Image' dataset. This dataset consists of both grayscale and color images of Yonkoma four-panel cartoons that were created between 1920 to 2022. The images were collected from a range of online sources, including digitized newspapers such as Chosun Ilbo and Dong-a Ilbo. We used the DarkLabel2.4 software to create bounding boxes for the Yonkoma four-panel images. Two types of formats were used for the boxes, which were 4x1 and 2x2. The labeling information for each image file was generated in the You Only Look Once (YOLO) format and saved in text files for deep learning. The dataset comprises a total of 161 image files in jpg format, which were randomly divided into training, validation, and testing sets using the Roboflow software
'Yonkoma four-panel Cartoon Image' Dataset