Add model card and pipeline metadata (#1)

- Add model card and pipeline metadata (e415929e40312a89b3c6dfc3a485bc71cf23ecca)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,3 +1,67 @@
 ---
 license: mit
+pipeline_tag: other
 ---
+
+# TrajLoc: Trajectory-aware Cross-view Geo-localization with Sequential Observations
+
+[🏠 Project Page](https://humblegamer.github.io/trajloc/) | [📖 Paper](https://arxiv.org/abs/2607.15491) | [💻 GitHub](https://github.com/mvrl/TrajLoc) | [📊 SeqGeo-VL Dataset](https://huggingface.co/datasets/jiayulin/SeqGeo-VL)
+
+This repository contains the pre-trained weights for **TrajLoc**, presented at ECCV 2026. 
+
+TrajLoc is a unified framework for cross-view geo-localization that localizes a *trajectory* instead of a single ground image. Given a street-view video sequence, a natural-language route description, or both, it retrieves the matching geo-tagged satellite tile.
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/mvrl/TrajLoc/main/assets/teaser.png" width="85%" alt="TrajLoc concept teaser"/>
+</p>
+
+## Highlights
+- **Unified Multi-modal Query**: Supports querying with video frames, plain-language route descriptions, or a blend of both.
+- **Spatially-grounded Embeddings**: Integrates **TrajMod**, a lightweight module that maps route geometry to modulate query embeddings for spatially-aware representations.
+- **Agentic Tool Interface**: Includes a function-calling tool interface so multimodal agents can easily localize routes as part of broader spatial reasoning.
+
+---
+
+## Quickstart & Usage
+
+Please refer to the official [TrajLoc GitHub repository](https://github.com/mvrl/TrajLoc) for installation instructions and dependencies.
+
+### Python API Example
+
+You can use the model as a tool for trajectory localization:
+
+```python
+from trajloc_tool import TrajLocTool
+
+# Initialize the tool with the pretrained checkpoint
+tool = TrajLocTool(
+    checkpoint_path="checkpoints/trajloc_full.pth",
+    gallery_manifest="gallery.json",       # satellite tiles to search over
+    gallery_cache="gallery_features.pt",   # features cached here after the first run
+)
+
+# Localize a trajectory using a text-based route description
+result = tool.localize_trajectory(
+    query_mode="text",
+    text="The route heads east along a tree-lined street, then turns right at the church.",
+    traj_coords=[[38.6488, -90.3108], [38.6495, -90.3089]],
+    traj_headings=[91.0, 92.5],
+    top_k=5,
+)
+print(result)
+```
+
+---
+
+## Citation
+
+If you find TrajLoc or the SeqGeo-VL dataset useful in your research, please cite our paper:
+
+```bibtex
+@inproceedings{gao2026trajloc,
+  title     = {Trajectory-aware Cross-view Geo-localization with Sequential Observations},
+  author    = {Gao, Tianyi and Lin, Jiayu and Beaulieu, Danielle and Jacobs, Nathan},
+  booktitle = {European Conference on Computer Vision},
+  year      = {2026}
+}
+```