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Specifically, we assume the maximal number of instances is *m* and construct *m* bins to indicate the number of instances. 

Thus, the counting task is formulated as the multi-class classification task, which use a FC layer to determine the bin index for instance number.

We conduct several experiments of the state-of-the-art object detectors and the proposed CLCNet method on the proposed dataset, to demonstrate the effectiveness of CLCNet, in Table 2.

![Table 2: Comparison results of the algorithms on the proposed dataset. Detection results of all comparison methods on the

proposed dataset. The mark lc on the upper right corner indicates that its value is computed by the proposed metrics](https://isrc.iscas.ac.cn/gitlab/research/locount-dataset/-/blob/master/Images/Experiment-results.png)

## Citation

If you find this dataset useful for your research, please cite

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