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chipoint-2
chiikabu-labs/chipoint-2
chipoint-2 is a image feature extraction model from chiikabu-labs. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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At a glance
- Task
- Image Feature Extraction
- License
- mit
- Model type
- chipoint2
- Access
- Public
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026
- SHA
- a150120c
Datasets
Model card
From the Hugging Face model README
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<p align="center"><a href="https://chiikabu.cc">chiikabu.cc</a> · <a href="https://chiikabu.cc/discord">discord</a> · <a href="https://x.com/Chiikabu_Labs">twitter / x</a></p>
Chipoint v2 is a SOTA geolocation model that is open-weight and beats the published frontier closed-weight model (Pinpoint, June 2026), its predecessor (Chipoint v1, July 2026), and all models on the OSV-5M street-view benchmark. This repo hosts both arms:
- street-view arm — the 4.89M-frame OSV-5M gallery index, the
projection heads, and the 23-feature reranker pipeline
(
streetview_k512_joint.pt, K512, per-threshold confidence head) - general-photo arm — the unified 14.5M photo gallery (MP14 10.9M +
MP16-Pro 4.1M) and the 23-feature rerankers
(
photoarm_k768_thr.pt/photoarm_k768_sr.pt/photoarm_k512_thr.pt) router_osv_flickr.ptroutes queries between the two arms for the best accuracy on a provided image.
Street-view arm
OSV-5M benchmark
OSV-5M test set (210,122 images). Acc@Xkm is the share of predictions
within X km. GeoScore is 5000·exp(-d/1492.7), higher is better.
| Model | @25km | @200km | @750km | @2500km | GeoScore | Mean err |
|---|---|---|---|---|---|---|
| OSV-5M Baseline | – | – | – | – | 3361 | 1814 km |
| GeoCLIP | 21.5 | 52.1 | 72.1 | – | – | – |
| GRE | 9.7 | 35.6 | 72.5 | 91.1 | – | 1192 km |
| LocDiff | 11.0 | 46.3 | 77.0 | 88.2 | – | – |
| RFM (S2S) | – | – | – | – | 3767 | 1069 km |
| HierLoc | – | – | – | – | 3963 | 861 km |
| Pinpoint (retrieval only) | 32.1 | 65.6 | 82.8 | 92.8 | 4035 | 784 km |
| Pinpoint (full) | 35.6 | 67.5 | 83.7 | 93.2 | 4114 | 743 km |
| Chipoint v1 | 37.63 | 70.56 | 84.94 | 93.36 | 4174 | 716 km |
| Chipoint v2 · street (full pipeline) | 44.8 | 81.1 | 92.1 | 96.8 | 4485 | 383 km |
Chipoint v2's median error is 32 km (v1: 51 km). The full-pipeline line is retrieval (K=64 pool) + the K512 23-feature reranker with a multiscale blend on the full 210,122-image test split. For reference, raw retrieval without reranking scores 34.89 / 61.96 / 74.60 / 85.34, GeoScore 3742, mean 1427 km.
General-photo arm
Running the model
Instructions on how to run Chipoint v2 locally are in the RUN_GUIDE.md file. Quick check:
python run_chipoint.py weights/streetview_k512_joint.pt
python run_chipoint.py weights/photoarm_k768_thr.pt
- Task
- Image Feature Extraction
- Type
- chipoint2
- License
- mit
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026