| | --- |
| | license: agpl-3.0 |
| | datasets: |
| | - solo2307/osm-sketchmaps |
| | language: |
| | - en |
| | metrics: |
| | - accuracy |
| | base_model: |
| | - Ultralytics/YOLOv8 |
| | --- |
| | |
| |
|
| | # Siamese YOLOv9e – Sketch Map Marking Detection (Final Checkpoints) |
| |
|
| | ## Overview |
| | This repository provides **final YOLO checkpoints** for detecting hand-drawn markings on printed maps. |
| | The models use a **Siamese (dual-stream) YOLOv9e** design for change detection: a clean basemap and an annotated map are processed jointly to detect only newly added markings. |
| |
|
| | All final checkpoints were trained with: |
| | 1) **synthetic pretraining on OSM-based data**, followed by |
| | 2) **fine-tuning on hand-drawn datasets** (two basemap domains) |
| |
|
| | --- |
| |
|
| | ## Available Models (Final) |
| |
|
| | | Checkpoint file | Fine-tuning domain | Intended use | |
| | |---|---|---| |
| | | `siamese_yolov9e_osm_hand.pt` | Hand-drawn on **OSM** basemaps | Best for OSM/cartographic backgrounds | |
| | | `siamese_yolov9e_ewi_hand.pt` | Hand-drawn on **EWI** basemaps | Best for satellite/imagery-style backgrounds | |
| |
|
| | > Notes: |
| | > - Both models share the same synthetic OSM pretraining stage. |
| | > - EWI-derived imagery used for fine-tuning cannot be redistributed; only the checkpoint is provided. |
| |
|
| | --- |
| |
|
| | ## Input Format (6 channels) |
| | The models expect a **6-channel input** representing a paired image: |
| |
|
| | - channels `[0,1,2]` = **clean basemap** (RGB) |
| | - channels `[3,4,5]` = **annotated map** (RGB) |
| |
|
| | In other words: `RGB_clean + RGB_annotated` concatenated. |
| |
|
| | If your data is stored as multi-band TIFF: |
| | - ensure channel order is **RGB** (not BGR) |
| | - ensure the first 3 bands correspond to the clean map |
| |
|
| | --- |
| |
|
| | ## Dataset |
| |
|
| | Training and evaluation datasets are available at: |
| | https://huggingface.co/datasets/solo2307/osm-sketchmaps |
| |
|
