Dataset of young deer (RGB images)

After data augmentation, the dataset contains 29,149 images with annotations in the MS COCO format for the monitored classes “young deer” and “person”. The total number of objects belonging to the first category is 43,298, while 3,080 objects are annotated for the second category. The structure of the RGB dataset of young deer is described in detail in Table 1, which summarizes selected statistical characteristics of the annotated instances of both monitored classes. Table 1: Selected properties of objects in the training and validation dataset Property Fawn class Person class Number of instances 43,298 3,080 Min. width 2 6 Max. width 923 833 Avg. width 73.45 57.62 Min. height 2 6 Max. height 995 855 Avg. height 109.01 84.71 Min. area 0.001 0.003 Max. area 35.08 37.44 Avg. area 1.06 0.74 Min. number of contour points 10 40 Max. number of contour points 2,402 484 Avg. number of contour points 111 229