This model is a scratch-built, highly optimized implementation of the CLIP architecture, developed as part of an Academic Research Project.

It achieves 2.46x faster inference speed (Latency: 21ms vs 52ms) compared to the standard OpenAI CLIP model on consumer hardware (RTX 3050 Ti), while maintaining 97.7% Zero-Shot Accuracy.

The full source code, training details, and inference scripts are available on GitHub: 👉 GitHub Repository: custom-clip-vit-b-coco

This model is licensed under CC-BY 4.0. You are free to use it for academic or commercial purposes, but you must provide attribution to the author:

Author: Muhammed Köse
Project: Custom CLIP Optimization