Update README.md

README.md

@@ -1,12 +1,13 @@
----
-license: mit
-task_categories:
-- image-classification
-language:
-- en
-size_categories:
-- 10K<n<100K
----
+---
+license: mit
+pretty_name: MNIST
+task_categories:
+- image-classification
+language:
+- en
+size_categories:
+- 10K<n<100K
+---
 
 # MNIST
 
@@ -33,6 +34,14 @@ Expected output:
 mnist.tar.gz: OK
 ```
 
+## Extract
+
+```sh
+tar xf mnist.tar.gz
+```
+
+This will create a top-level `mnist/` directory containing the dataset.
+
 ## Metadata
 
 * 70,000 images
@@ -68,4 +77,33 @@ ls -1 mnist/training/0 | wc -l
 ```sh
 file mnist/training/0/10005.png
 mnist/training/0/10005.png: PNG image data, 28 x 28, 8-bit grayscale, non-interlaced
-```
+```
+
+### ImageMagick
+
+```sh
+identify mnist/training/0/10005.png
+mnist/training/0/10005.png PNG 28x28 28x28+0+0 8-bit Grayscale Gray 256c 242B 0.000u 0:00.000
+```
+
+To view detailed metadata, use the `-verbose` flag:
+
+```sh
+identify -verbose mnist/training/0/10005.png
+```
+
+Example output:
+
+```
+Image:
+  Filename: mnist/training/0/10005.png
+  Format: PNG (Portable Network Graphics)
+  Geometry: 28x28+0+0
+  Colorspace: Gray
+  Type: Grayscale
+  Depth: 8-bit
+  Pixels: 784
+  ...
+```
+
+The full output includes histogram, colormap, transparency, and statistical details, which are omitted here for brevity.