Tinybeans will retain your Personal Information for the period of time that is necessary to fulfil the original Tinybeans will retain your Personal Information for the period of time that is necessary to fulfill the original purposes for which it has been collected. Please keep in mind that, in...
awho owned a house on an adjacent site and objectent to the idea of a prison overlooking it 谁在一个毗邻站点拥有了一个房子和objectent到俯视它的监狱的想法[translate] aEach party will promptly notify the other of any unauthorized use or disclosure of the Confidential Information of which it ...
Depending on the law that applies, you may have a right to access and rectify or erase your personal data or receive a copy of your personal data, restrict or object to the active processing of your data, ask us to share (port) your personal information to another entity, withdraw any ...
TINYSCOPE is an accessory designed for mobile phone lens,your cell phone turns into a mobile microscope with it,which makes you own a lab on the go at once.Picture or video can be took when it contact the object directly.Matched APP is necessary when you use it.What functions the APP ...
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The Right to Object to Processing –You have the right to object to TINYpulse’s processing of your personal data, under certainconditions. The Right to Data Portability –You have the right to request that TINYpulse transfer the data that we have collected to another organization, or directly...
TypeError('Theme must be an object'); + } + if (theme?.data && typeof theme.data !== 'object') { + throw new TypeError('Theme.data must be an object'); + } + if (theme?.css && typeof theme.css !== 'string') { + throw new TypeError('Theme.css must be a string'); ...
2- On the Huge Island, near the box that releases iron balls, there is an invisible object used to spawn a line of five coins, which is used in various other places in the game. However, because of how it is placed under the ground, one of the coins ends up spawning in an illegal...
In this subsection, we compare the proposed DC-YOLO with several mainstream lightweight object detection algorithms, such as YOLOv5s, YOLOv7-tiny, YOLOv8s, YOLOXs, and YOLOv9s, and the experimental results are shown in Table 5. From the experimental results, we can see that the detection ...
The results demonstrate that the mean Average Precision (mAP) of our proposed MwdpNet on the four datasets achieve 87.0%, 89.2%, 78.3%, and 76.0%, respectively, outperforming nine mainstream object detection algorithms. Our proposed approach provides an effective means and strategy for detecting ...