Answer:
B)A negative body image
Explanation:
She could also be suffering form body dysmorphia, a mental disease in which the patient is fixed on a supposed physical flaw that is frequently not real. (For example, a person with a medium-sized nose who believes that he or she has an extremely large nose).
In the question, Jasmine believes that she is fact while apparently she is not, going by her friend's opinion.
Congress can come up with laws, and send them to the president for approval. If it is vetoed, there are ways that Congress can override that. That is how they share responsibilities, I hope this helps.
Answer: English is the most used language in California with an estimate of 20,379,282 speakers which translates to 58.8% of California's population. English became the official language in California after it was passed in 1989 due to the passage of Proposition 63.
Explanation:
Answer:
dry climates latitude is approximately between 18° to 28° in both hemispheres.
Explanation:
In the context End-To-End Measure for Text's crucial to evaluate the performance of text recognition and text line detection engines before comparing systems and configurations. Both jobs have established metrics that can be used independently.
To evaluate the effectiveness of a system that combines text line detection with text recognition, however, there is no sophisticated system in place.
A well-known methodology that is occasionally applied in this context is the F-measure on word level. However, it can produce misleading findings because it does not account for the alignment of the hypothesis and the ground truth text. There is a considerable demand for such a metric since users of automatic information retrieval pipelines in the context of text recognition are primarily interested in the end-to-end performance of a given system.
As a result, we offer a metric to assess a text recognition system's overall quality. The widely accepted character error rate serves as the foundation for this measurement and is only applicable to aligned hypothesis and ground truth texts in its original form. The suggested measure is adaptable in that it may be set up to punish various reading orders between the hypothesis and the actual data as well as take into consideration the text lines' geometric positions. It also has the ability to disregard the over- and under-segmentation of text lines. It is possible to obtain a measure that best suits its own demands using these factors.
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