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this approach posed the risk of introducing additional errors due to the need to train another algorithm. Instead, the use of SAM (Segment Anything Model) ensures that all detections have a generated mask
The image contains typical scenes, such as ports and airports, and covers cloud and mist degradation under different environmental conditions, such as climate, season, lighting, occlusion, and atmospheric scattering. Some typical images in the new dataset are shown in Figure 4. Figure 4. Examples...
We also had to bear in mind that the length of the observation sessions also varied greatly from one season to the next: they were shorter on summer nights, whereas winter nights were much longer. Coping with these constraints enabled us to capture a large number of images that correspond ...
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At this time, the season of high temperatures created circumstances of high temperature and humidity favorable for plant development. The development of A. splendens in the experimental region was shown in Figure 2. In the testing stage, the phenological phase of development of A. splendens was ...
The proposed model is appropriate to detect and classify the pathological phenomena of broilers in intensive poultry houses that require round-the-clock monitoring during production season to avoid dangers. The environment inside these poultry houses is not maintained consistently and has complex scenes ...
(Apple, Cupertino, CA, USA). The 224 images were collected in real field environments during the growing season in May and between 14:00 and 15:00 at Namik Kemal University, Tekirdag, Türkiye. The image resolution was 4032 × 3024 pixels. All images were acquired under natural illumination...