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Dongyang Jin
2025-02-25 16:23:29 +08:00
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# Human Identification at a Distance (HID) Competition # Human Identification at a Distance (HID) Competition
![](http://hid2022.iapr-tc4.org/wp-content/uploads/sites/7/2022/03/%E5%9B%BE%E7%89%871-2.png) ![](http://hid2022.iapr-tc4.org/wp-content/uploads/sites/7/2022/03/%E5%9B%BE%E7%89%871-2.png)
This is the official support for [Human Identification at a Distance (HID)](https://hid2023.iapr-tc4.org/) competition. We provide the baseline code for this competition. This is the official support for [Human Identification at a Distance (HID)](https://hid2025.iapr-tc4.org/) competition. We provide the baseline code for this competition.
## Tutorial for HID 2023 ## Tutorial for HID 2025
For HID 2023, we will not provide a training set. In this competition, you can use any dataset, such as CASIA-B, OUMVLP, CASIA-E, and/or their own dataset, to train your model. In this tutorial, we will use the model trained on previous HID competition training set as the baseline model. For HID 2025, we will not provide a training set. In this competition, you can use any dataset, such as CASIA-B, OUMVLP, CASIA-E, and/or their own dataset, to train your model. In this tutorial, we will use the model trained on previous HID competition training set as the baseline model.
### Download the test set ### Download the test set
Download the test gallery and probe from the [link](https://hid2023.iapr-tc4.org/#:~:text=Dataset%EF%BC%88New%20for%20HID%202023%EF%BC%89). Download the test gallery and probe from the [link](https://hid2025.iapr-tc4.org/#:~:text=Dataset%EF%BC%88New%20for%20HID%202025%EF%BC%89).
You should decompress these two file by following command: You should decompress these two file by following command:
``` ```
mkdir hid_2023 mkdir hid_2025
tar -zxvf gallery.tar.gz tar -zxvf gallery.tar.gz
mv gallery/* hid_2023/ mv gallery/* hid_2025/
rm gallery -rf rm gallery -rf
# For Phase 1 # For Phase 1
tar -zxvf probe_phase1.tar.gz -C hid_2023 tar -zxvf probe_phase1.tar.gz -C hid_2025
mv hid_2023/probe_phase1 hid_2023/probe mv hid_2025/probe_phase1 hid_2025/probe
# For Phase 2 # For Phase 2
tar -zxvf probe_phase2.tar.gz -C hid_2023 tar -zxvf probe_phase2.tar.gz -C hid_2025
mv hid_2023/probe_phase2 hid_2023/probe mv hid_2025/probe_phase2 hid_2025/probe
``` ```
@@ -66,4 +66,4 @@ CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node
The result will be generated in your working directory. The result will be generated in your working directory.
### Submit the result ### Submit the result
Follow the steps in the [official submission guide](https://codalab.lisn.upsaclay.fr/competitions/2542#participate), you need rename the file to `submission.csv` and compress it to a zip file. Finally, you can upload the zip file to the [official submission link](https://codalab.lisn.upsaclay.fr/competitions/2542#participate-submit_results). Follow the steps in the [official submission guide](https://codalab.lisn.upsaclay.fr/competitions/2542#participate), you need rename the file to `submission.csv` and compress it to a zip file. Finally, you can upload the zip file to the [official submission link](https://codalab.lisn.upsaclay.fr/competitions/2542#participate-submit_results).