diff --git a/README.md b/README.md
index f9898a00..d0c55e0b 100644
--- a/README.md
+++ b/README.md
@@ -29,7 +29,7 @@ Find the reproducible [Studio Benchmark](https://lightning.ai/lightning-ai/studi
 
 | Framework | Images / sec  1st Epoch (float32)  | Images / sec   2nd Epoch (float32) | Images / sec 1st Epoch (torch16) | Images / sec 2nd Epoch (torch16) |
 |---|---|---|---|---|
-| PL Data  | ${\textbf{\color{Fuchsia}5800.34}}$ | ${\textbf{\color{Fuchsia}6589.98}}$  | ${\textbf{\color{Fuchsia}6282.17}}$  | ${\textbf{\color{Fuchsia}7221.88}}$  |
+| PL Data  | **5800.34** | **6589.98**  | **6282.17**  | **7221.88**  |
 | Web Dataset  | 3134.42 | 3924.95 | 3343.40 | 4424.62 |
 | Mosaic ML  | 2898.61 | 5099.93 | 2809.69 | 5158.98 |
 
@@ -39,9 +39,9 @@ Higher is better.
 
 | Framework |Train Conversion Time | Val Conversion Time | Dataset Size | # Files |
 |---|---|---|---|---|
-| PL Data  |  ${\textbf{\color{Fuchsia}10:05 min}}$ | ${\textbf{\color{Fuchsia}00:30 min}}$ |  ${\textbf{\color{Fuchsia}143.1 GB}}$  | 2.339  |
+| PL Data  |  **10:05 min** | **00:30 min** | **143.1 GB**  | 2.339  |
 | Web Dataset  | 32:36 min | 01:22 min | 147.8 GB | 1.144 |
-| Mosaic ML  | 49:49 min | 01:04 min | ${\textbf{\color{Fuchsia}143.1 GB}}$ | 2.298 |
+| Mosaic ML  | 49:49 min | 01:04 min | **143.1 GB** | 2.298 |
 
 The dataset needs to be converted into an optimized format for cloud streaming. We measured how fast the 1.2 million images are converted.