What is 0.5 at mAP?
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0.5 at mAP refers to a metric called mean Average Precision (mAP) with a value of 0.5. The mAP is commonly used to evaluate the performance of object detection algorithms. It measures the accuracy and robustness of the algorithm in detecting objects in an image or video. A higher mAP value indicates better performance. The specific context or application of the 0.5 mAP is not provided in the abstracts given.
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| The provided paper does not mention anything about "mAP" or its value of 0.5. | |
30 Nov 2015 2 Citations | The paper does not mention anything about "0.5 at mAP". |
16 Citations | The paper does not mention anything about "0.5 at mAP". |
| The provided paper does not mention anything about "0.5 at mAP". | |
31 Aug 2015 8 Citations | The provided paper does not mention anything about "0.5 at mAP". |
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