encord-team/text-to-image-eval
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.
Jupyter NotebookApache-2.0
Stargazers
- afondiel@diesimo-ai
- alex-encord
- alexey-cord-tech
- amirezzatiSharif University of Technology
- bghenetiOcelli Tech Consulting Cooperative
- deoracord
- eloy-encord@encord-team
- Encord-davids
- eric-encord
- frederik-encordEncord
- Ghoulsas
- haresh02
- harpreetsahota204Deci
- harshkaria-bc
- hyungchulkim
- KabildukeKaniyaKumari
- kais-bediouiSEAFAR
- llStringll
- marcocmarques
- ngocbhYale University
- nikolaj-encord
- NonMundaneDevPort Harcourt School of AI
- ohjhoHong Kong
- Okabintaro
- pawani2vi2V Systems
- rmarquis
- sankaushikBangalore, India
- stephen-encord
- sunkinux
- TennoSerra
- tkersey@thisisartium
- TrevorS@useStable
- wkcnChina
- yaokeepmoving
- yzhong22The Chinese University of Hong Kong