Python zero-shot-classification Projects
-
-
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.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: We Built an Open-Source Text-to-Image Evaluation Library for Clip Models | news.ycombinator.com | 2024-05-07Hi everyone,
We recently released TTI Eval `text-to-image-eval`, an open-source library for evaluating zero-shot classification models like CLIP and domain-specific ones like BioCLIP against your (or HF) datasets to estimate how well the model will perform.
You can evaluate custom and HuggingFace text-to-image/zero-shot image classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. The evaluation metrics include Zero-shot accuracy, linear probe, image retrieval, and KNN accuracy.
We built this for ML engineers and developers using CLIP models.
Here's the installation guide if you want to get started: https://github.com/encord-team/text-to-image-eval?tab=readme...
I'd love to hear your thoughts on this. I'm open to contributions and feedback from the community.
Index
| Project | Stars | |
|---|---|---|
| 1 | InternVideo | 975 |
| 2 | text-to-image-eval | 13 |
Sponsored