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library_name: opensportslib
tags:
- action-spotting
- sports
---
# OSL-loc-NetVLAD
OpenSportsLib localization models. `main` is the version catalog; load an explicit experiment revision using `LocalizationModel.from_pretrained`.
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## Trained model versions
Select a version below to read its recipe, data, measured metrics and usage instructions. Each weight/config pair belongs to the linked experiment and seed.
| Version / README | Dataset | Seed | Scope | Measured test scores | Artifacts |
|---|---|---:|---|---|---|
| [soccernet_netrvlad_baidu](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netrvlad_baidu) | SoccerNet-v2 | 1 | controlled feature/pooling extension; no matched paper target | loose average-mAP: 69.3119%; tight average-mAP: 6.1889% | [weights](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/14f937790c98c9955ae511d0456108877b0698c1/model.pth) 路 [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/14f937790c98c9955ae511d0456108877b0698c1/config.yaml) |
| [soccernet_netrvlad_resnet_pca512](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netrvlad_resnet_pca512) | SoccerNet-v2 | 1 | controlled feature/pooling extension; no matched paper target | loose average-mAP: 46.8216%; tight average-mAP: 7.2654% | [weights](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/a3fd0919c8ebd2ae4f68e378bcdd77312fe92914/model.pth) 路 [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/a3fd0919c8ebd2ae4f68e378bcdd77312fe92914/config.yaml) |
| [soccernet_netvlad_baidu](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netvlad_baidu) | SoccerNet-v2 | 1 | controlled feature/pooling extension; no matched paper target | loose average-mAP: 70.8112%; tight average-mAP: 6.6621% | [weights](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/43014f1ab1a458aa6a002af54802089609d20392/model.pth) 路 [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/43014f1ab1a458aa6a002af54802089609d20392/config.yaml) |
| [soccernet_netvlad_resnet_pca512](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netvlad_resnet_pca512) | SoccerNet-v2 | 1 | released-code PCA ablation | loose average-mAP: 48.3548%; tight average-mAP: 7.3769% | [weights](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/2fc2f7db8e08ca05515987107144f80fae487725/model.pth) 路 [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/2fc2f7db8e08ca05515987107144f80fae487725/config.yaml) |
Per-seed measurements do not establish exact paper reproduction. Read each version's protocol and aggregation notes.
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