diff --git a/README.md b/README.md
index c34975e..495bd69 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,9 @@
+<h1 align="center">
+    <a href="https://encord.com/webinar/tti-eval-webinar/">
+        <img src="https://storage.googleapis.com/docs-media.encord.com/static/img/text-to-image-eval/fint-tune-text-to-image.jpg" alt="tti-eval logo banner">
+    </a>
+</h1>
+
 <div align="center" style="display: flex; justify-content: space-between;">
   <div style="flex: 1; padding: 10px;">
     <a href="https://colab.research.google.com/github/encord-team/text-to-image-eval/blob/main/notebooks/tti_eval_CLI_Quickstart.ipynb" target="_blank" style="text-decoration:none"><img alt="CLI Quickstart In Colab" src="https://img.shields.io/badge/Try_It_In_Colab-blue?logo=googlecolab&labelColor=555"></a>
@@ -114,7 +120,6 @@ To interactively explore the animation in a temporary session, use the `--intera
 >  <img alt="Python Quickstart In Colab" src="https://img.shields.io/badge/Python_Quickstart_In_Colab-blue?logo=googlecolab&labelColor=555">
 > </a>
 
-
 ## Some Example Results
 
 One example of where this `tti-eval` is useful is to test different open-source models against different open-source datasets within a specific domain.
@@ -134,7 +139,7 @@ The models are evaluated against four different medical datasets. Note, Further
 ### Weighted KNN Accuracy
 
 | Model/Dataset    | Alzheimer-MRI | LungCancer4Types | chest-xray-classification | skin-cancer |
-|:-----------------|:-------------:|:----------------:|:-------------------------:|:-----------:|
+| :--------------- | :-----------: | :--------------: | :-----------------------: | :---------: |
 | apple            |    0.6777     |      0.6633      |          0.9687           |   0.7985    |
 | bioclip          |    0.8952     |      0.7800      |          0.9771           |   0.7961    |
 | clip             |    0.6986     |      0.6867      |          0.9727           |   0.7891    |
@@ -148,7 +153,7 @@ The models are evaluated against four different medical datasets. Note, Further
 ### Zero-shot Accuracy
 
 | Model/Dataset    | Alzheimer-MRI | LungCancer4Types | chest-xray-classification | skin-cancer |
-|:-----------------|:-------------:|:----------------:|:-------------------------:|:-----------:|
+| :--------------- | :-----------: | :--------------: | :-----------------------: | :---------: |
 | apple            |    0.4460     |      0.2367      |          0.7381           |   0.3594    |
 | bioclip          |    0.3092     |      0.2200      |          0.7356           |   0.0431    |
 | clip             |    0.4857     |      0.2267      |          0.7381           |   0.1955    |
@@ -164,7 +169,7 @@ The models are evaluated against four different medical datasets. Note, Further
 ### Image-to-image Retrieval
 
 | Model/Dataset    | Alzheimer-MRI | LungCancer4Types | chest-xray-classification | skin-cancer |
-|:-----------------|:-------------:|:----------------:|:-------------------------:|:-----------:|
+| :--------------- | :-----------: | :--------------: | :-----------------------: | :---------: |
 | apple            |    0.4281     |      0.2786      |          0.8835           |   0.6437    |
 | bioclip          |    0.4535     |      0.3496      |          0.8786           |   0.6278    |
 | clip             |    0.4247     |      0.2812      |          0.8602           |   0.6347    |
@@ -180,7 +185,7 @@ The models are evaluated against four different medical datasets. Note, Further
 ### Linear Probe Accuracy
 
 | Model/Dataset    | Alzheimer-MRI | LungCancer4Types | chest-xray-classification | skin-cancer |
-|:-----------------|:-------------:|:----------------:|:-------------------------:|:-----------:|
+| :--------------- | :-----------: | :--------------: | :-----------------------: | :---------: |
 | apple            |    0.5482     |      0.5433      |          0.9362           |   0.7662    |
 | bioclip          |    0.6139     |      0.6600      |          0.9433           |   0.7933    |
 | clip             |    0.5547     |      0.5700      |          0.9362           |   0.7704    |
@@ -206,7 +211,7 @@ This repository contains classification datasets sourced from [Hugging Face](htt
 > ⚠️ Currently, only image and image groups datasets are supported, with potential for future expansion to include video datasets.
 
 | Dataset Title             | Implementation                  | HF Dataset                                                                           |
-|:--------------------------|:--------------------------------|:-------------------------------------------------------------------------------------|
+| :------------------------ | :------------------------------ | :----------------------------------------------------------------------------------- |
 | Alzheimer-MRI             | [Hugging Face][hf-dataset-impl] | [Falah/Alzheimer_MRI][Falah/Alzheimer_MRI]                                           |
 | chest-xray-classification | [Hugging Face][hf-dataset-impl] | [trpakov/chest-xray-classification][trpakov/chest-xray-classification]               |
 | LungCancer4Types          | [Hugging Face][hf-dataset-impl] | [Kabil007/LungCancer4Types][Kabil007/LungCancer4Types]                               |
@@ -285,7 +290,7 @@ _TODO_: Some more prose about what's the difference between implementations.
 ### Hugging Face Models
 
 | Model Title      | Implementation                | HF Model                                                                                       |
-|:-----------------|:------------------------------|:-----------------------------------------------------------------------------------------------|
+| :--------------- | :---------------------------- | :--------------------------------------------------------------------------------------------- |
 | apple            | [OpenCLIP][open-model-impl]   | [apple/DFN5B-CLIP-ViT-H-14][apple/DFN5B-CLIP-ViT-H-14]                                         |
 | bioclip          | [OpenCLIP][open-model-impl]   | [imageomics/bioclip][imageomics/bioclip]                                                       |
 | eva-clip         | [OpenCLIP][open-model-impl]   | [BAAI/EVA-CLIP-8B-448][BAAI/EVA-CLIP-8B-448]                                                   |
@@ -303,7 +308,7 @@ _TODO_: Some more prose about what's the difference between implementations.
 ### Locally Trained Models
 
 | Model Title  | Implementation                    | Weights |
-|:-------------|:----------------------------------|:--------|
+| :----------- | :-------------------------------- | :------ |
 | rsicd-encord | [LocalOpenCLIP][local-model-impl] | -       |
 
 ### Add a Model from a Known Source