Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,11 @@ pipeline_tag: feature-extraction
|
|
| 15 |
|
| 16 |
Tube Clip is a fine-tuned variant of CLIP Large (~1.7 GB) designed to analyze YouTube video thumbnails and titles to predict view performance classes.
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
## Model Overview
|
| 19 |
|
| 20 |
* **Architecture:** CLIP (Vision + Text Transformer) fine-tuned on YouTube thumbnail and title distributions.
|
|
|
|
| 15 |
|
| 16 |
Tube Clip is a fine-tuned variant of CLIP Large (~1.7 GB) designed to analyze YouTube video thumbnails and titles to predict view performance classes.
|
| 17 |
|
| 18 |
+
### Why?
|
| 19 |
+
|
| 20 |
+
Content creators and marketers constantly rely on guesswork and A/B testing to figure out which combination of thumbnail imagery and video title will actually drive clicks. There is a massive disconnect between what _looks_ good and what the algorithm (and audience) rewards.
|
| 21 |
+
**So** I fine-tuned a CLIP model to evaluate the relationship between a thumbnail's visual elements and title with views classes. By analyzing 100,000 videos, this model removes the guesswork, providing an objective thumbnail score and class predictor based on proven, real-world data patterns.
|
| 22 |
+
|
| 23 |
## Model Overview
|
| 24 |
|
| 25 |
* **Architecture:** CLIP (Vision + Text Transformer) fine-tuned on YouTube thumbnail and title distributions.
|