Recognition of Holstein Cattle with Thermal and RGB images
<|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:'This data set was collected from the Dairy Campus in Leeuwarden (The Netherlands) with a FLIR E6 thermal camera over a period of 9 days. It consists of 3694 images of 383, with each cow represented with an average of 9 images. Each snapshot created two images; 1) RGB and ii) Temperature. The image filenames are in the format  [cow_id-4 digits]_[day no-1 digit]_[counter-1 digit]. The timestamp.xlsx file indicates the day number (day 1 to day 9) of when an image in the data set was collected. This allows to design and run leave-one day-out cross validation, the same as we did in our paper.Here is the link to the scripts that reproduce the results reported in the paper, and the following is the link to the GitHub repository that c' . 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" : ["Cattle recognition","Contour maps","Deep learning","Holstein Cattle","Image processing"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set was collected from the Dairy Campus in Leeuwarden (The Netherlands) with a FLIR E6 thermal camera over a period of 9 days. It consists of 3694 images of 383, with each cow represented with an average of 9 images. Each snapshot created two images; 1) RGB and ii) Temperature. The image filenames are in the format  [cow_id-4 digits]_[day no-1 digit]_[counter-1 digit]. The timestamp.xlsx file indicates the day number (day 1 to day 9) of when an image in the data set was collected. This allows to design and run leave-one day-out cross validation, the same as we did in our paper.Here is the link to the scripts that reproduce the results reported in the paper, and the following is the link to the GitHub repository that c' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set was collected from the Dairy Campus in Leeuwarden (The Netherlands) with a FLIR E6 thermal camera over a period of 9 days. It consists of 3694 images of 383, with each cow represented with an average of 9 images. Each snapshot created two images; 1) RGB and ii) Temperature. The image filenames are in the format  [cow_id-4 digits]_[day no-1 digit]_[counter-1 digit]. The timestamp.xlsx file indicates the day number (day 1 to day 9) of when an image in the data set was collected. This allows to design and run leave-one day-out cross validation, the same as we did in our paper.Here is the link to the scripts that reproduce the results reported in the paper, and the following is the link to the GitHub repository that c
Cattle recognition; Contour maps; Deep learning; Holstein Cattle; Image processing