MMLForge Search models, datasets, tasks… Start free
Home › Models › Zero Shot Image Classification › geolocal/StreetCLIP
S

geolocal/StreetCLIP

Zero Shot Image Classification·geolocal· 16.7K· 109
transformers cc-by-nc-4.0 Zero Shot Image Classification

StreetCLIP is a robust foundation model for open-domain image geolocalization and other geographic and climate-related tasks.

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull geolocal/StreetCLIP

Model details

Task
Zero Shot Image Classification
Provider
geolocal
Framework
transformers
Size
3.2 GB
License
cc-by-nc-4.0
Downloads
16.7K
Likes
109
Paper
arXiv:2302.00275
Updated
2023-09-13

About geolocal/StreetCLIP

StreetCLIP is a robust foundation model for open-domain image geolocalization and other geographic and climate-related tasks.

Related Zero Shot Image Classification

C openai/clip-vit-base-patch32 Zero Shot Image Classification 22.8M 966 🤗 HF C openai/clip-vit-large-patch14 Zero Shot Image Classification ·427.6M params 12.0M 2.0K 🤗 HF C laion/CLIP-ViT-B-32-laion2B-s34B-b79K Zero Shot Image Classification ·151.3M params 3.8M 141 🤗 HF P yuvalkirstain/PickScore_v1 Zero Shot Image Classification ·986.1M params 3.2M 52 🤗 HF F patrickjohncyh/fashion-clip Zero Shot Image Classification ·151.3M params 2.9M 284 🤗 HF C openai/clip-vit-large-patch14-336 Zero Shot Image Classification 2.8M 308 🤗 HF

Browse all Zero Shot Image Classification models →