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docs/benchmarks/task1.md

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## Evaluation metrics
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Submissions are evaluated using the mean Average Precision at the IoU thresholds of 0.25 and 0.50, denoted as $AP_{25}$ and $AP_{50}$ respectively. Additionally, they are assessed using the average across IoU thresholds from 0.5 to 0.95 with a step of 0.05 ($AP$). Submissions are ranked based on the $AP$ metric.
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Submissions are evaluated using the mean Average Precision at the IoU thresholds of 0.25 and 0.50, denoted as AP<sub>25</sub> and AP<sub>50</sub> respectively. Additionally, they are assessed using the average across IoU thresholds from 0.5 to 0.95 with a step of 0.05 (AP). Submissions are ranked based on the AP metric.

docs/benchmarks/task2.md

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## Evaluation metrics
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Submissions are evaluated using the mean Average Precision at the IoU thresholds of 0.25 and 0.50, denoted as $AP_{25}$ and $AP_{50}$ respectively. Submissions are ranked based on the $AP_{50}$ metric.
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Submissions are evaluated using the mean Average Precision at the IoU thresholds of 0.25 and 0.50, denoted as AP<sub>25</sub> and AP<sub>50</sub> respectively. Submissions are ranked based on the AP<sub>50</sub> metric.

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