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README.md

@@ -19,7 +19,6 @@ tags:
 - urban-traffic
 - tracking
 - arxiv:2411.02136
-- PyTorch
 datasets:
 - rfonod/songdo-vision
 - Voxel51/VisDrone2019-DET
@@ -34,18 +33,18 @@ model-index:
       name: Songdo Vision
       split: test
     metrics:
-    - type: precision
-      value: 0.951
-      name: mAP@0.5
-    - type: precision
-      value: 0.711
-      name: mAP@0.5:0.95
-    - type: precision
-      value: 0.911
-      name: Precision
-    - type: recall
-      value: 0.935
-      name: Recall
+      - type: precision  # mAP@0.5 not available as a standard metric type on HF
+        value: 0.951
+        name: mAP@0.5
+      - type: precision
+        value: 0.711
+        name: mAP@0.5:0.95
+      - type: precision
+        value: 0.911
+        name: Precision
+      - type: recall
+        value: 0.935
+        name: Recall
 ---
 
 # Geo-trax: YOLOv8s Vehicle Detector for Drone BEV Imagery
@@ -210,6 +209,24 @@ training details, and ablation results.
   the four primary classes by default; when using Ultralytics directly, pass
   `classes=[0, 1, 2, 3]` to suppress unreliable predictions.
 
+## Related datasets and resources
+
+- **Songdo Traffic**: the georeferenced vehicle-trajectory dataset this model helps produce via
+  the Geo-trax pipeline:
+  [`10.5281/zenodo.13828384`](https://doi.org/10.5281/zenodo.13828384) ·
+  HF [`rfonod/songdo-traffic`](https://huggingface.co/datasets/rfonod/songdo-traffic)
+- **Songdo Vision**: the vehicle-detection (annotated image) dataset used to train and validate
+  this model: [`10.5281/zenodo.13828407`](https://doi.org/10.5281/zenodo.13828407) ·
+  HF [`rfonod/songdo-vision`](https://huggingface.co/datasets/rfonod/songdo-vision)
+- **Source video recordings** (not open access):
+  [`10.5075/EPFL.20.500.14299/253923`](https://doi.org/10.5075/EPFL.20.500.14299/253923)
+- **Publication**: *Transportation Research Part C* (2025):
+  [`10.1016/j.trc.2025.105205`](https://doi.org/10.1016/j.trc.2025.105205) ·
+  [arXiv:2411.02136](https://arxiv.org/abs/2411.02136)
+- **Software**: Geo-trax: [github.com/rfonod/geo-trax](https://github.com/rfonod/geo-trax) ·
+  Zenodo [`10.5281/zenodo.12119542`](https://doi.org/10.5281/zenodo.12119542) ·
+  [demo video](https://youtu.be/gOGivL9FFLk)
+
 ## Citation
 
 If you use this model, please cite the associated publication:
@@ -245,4 +262,4 @@ also cite the specific version you used via its Zenodo record. For example, for
 This model is released under the
 [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
 license; see the [LICENSE](LICENSE) file for the full terms. The Geo-trax codebase is distributed
-separately under the [MIT License](https://github.com/rfonod/geo-trax/blob/main/LICENSE).
+separately under the [MIT License](https://github.com/rfonod/geo-trax/blob/main/LICENSE).