docs: Fixes and adding front matter to example README files (#610)

Co-authored-by: caitlinwheeless <[email protected]>

label_studio_ml/examples/grounding_sam/README.md

@@ -1,28 +1,28 @@
 <!--
 ---
-title: Zero-shot object detection and image segmentation with Grounding DINO
+title: Zero-shot object detection and image segmentation with Grounding DINO and SAM
 type: guide
 tier: all
 order: 15
 hide_menu: true
 hide_frontmatter_title: true
-meta_title: Image segmentation in Label Studio using a Grounding DINO backend
-meta_description: Label Studio tutorial for using Grounding DINO for zero-shot object detection in images
+meta_title: Image segmentation in Label Studio using a Grounding DINO backend and SAM
+meta_description: Label Studio tutorial for using Grounding DINO and SAM for zero-shot object detection in images
 categories:
     - Computer Vision
     - Image Annotation
     - Object Detection
     - Zero-shot Image Segmentation
     - Grounding DINO
     - Segment Anything Model
-image: "/tutorials/grounding-dino.png"
+image: "/tutorials/grounding-sam.png"
 ---
 -->
 
 https://github.com/HumanSignal/label-studio-ml-backend/assets/106922533/d1d2f233-d7c0-40ac-ba6f-368c3c01fd36
 
 
-# Grounding DINO backend integration
+# Grounding DINO backend integration with SAM enabled
 
 This integration will allow you to:
 

label_studio_ml/examples/segment_anything_2_image/README.md

@@ -1,9 +1,27 @@
-
-Segment Anything 2, or SAM 2, is a model releaed by Meta in July 2024. An update to the original Segment Anything Model, 
+<!--
+---
+title: SAM2 with Images
+type: guide
+tier: all
+order: 15
+hide_menu: true
+hide_frontmatter_title: true
+meta_title: Using SAM2 with Label Studio for Image Annotation
+categories:
+    - Computer Vision
+    - Image Annotation
+    - Object Detection
+    - Segment Anything Model
+image: "/tutorials/sam2-images.png"
+---
+-->
+
+# Using SAM2 with Label Studio for Image Annotation
+
+Segment Anything 2, or SAM 2, is a model released by Meta in July 2024. An update to the original Segment Anything Model, 
 SAM 2 provides even better object segmentation for both images and video. In this guide, we'll show you how to use 
 SAM 2 for better image labeling with label studio. 
 
-## Using SAM2 with Label Studio (tutorial)
 Click on the image below to watch our ML Evangelist Micaela Kaplan explain how to link SAM 2 to your Label Studio Project.
 You'll need to follow the instructions below to stand up an instance of SAM2 before you can link your model! 
 

label_studio_ml/examples/segment_anything_2_video/README.md

@@ -1,3 +1,23 @@
+<!--
+---
+title: SAM2 with Videos
+type: guide
+tier: all
+order: 15
+hide_menu: true
+hide_frontmatter_title: true
+meta_title: Using SAM2 with Label Studio for Video Annotation
+categories:
+    - Computer Vision
+    - Video Annotation
+    - Object Detection
+    - Segment Anything Model
+image: "/tutorials/sam2-video.png"
+---
+-->
+
+# Using SAM2 with Label Studio for Video Annotation
+
 This guide describes the simplest way to start using **SegmentAnything 2** with Label Studio.
 
 This repository is specifically for working with object tracking in videos. For working with images, 
@@ -51,7 +71,7 @@ For your project, you can use any labeling config with video properties. Here's
       }-->
 
 
-# Known limitiations
+# Known limitations
 - As of 8/11/2024, SAM2 only runs on GPU servers. 
 - Currently, we only support the tracking of one object in video, although SAM2 can support multiple. 
 - Currently, we do not support video segmentation. 

label_studio_ml/examples/tesseract/README.md

@@ -45,7 +45,7 @@ Launch Label Studio. You can follow the guide from the [official documentation](
    docker run -it \
       -p 8080:8080 \
       -v `pwd`/mydata:/label-studio/data \
-      humansignal/label-studio:latest
+      heartex/label-studio:latest
    ```
 
    Optionally, you may enable local file serving in Label Studio
@@ -56,7 +56,7 @@ Launch Label Studio. You can follow the guide from the [official documentation](
       -v `pwd`/mydata:/label-studio/data \
       --env LABEL_STUDIO_LOCAL_FILES_SERVING_ENABLED=true \
       --env LABEL_STUDIO_LOCAL_FILES_DOCUMENT_ROOT=/label-studio/data/images \
-      humansignal/label-studio:latest
+      heartex/label-studio:latest
    ```
    If you're using local file serving, be sure to [get a copy of the API token](https://labelstud.io/guide/user_account#Access-token) from
    Label Studio to connect the model.

label_studio_ml/examples/watsonx_llm/README.md

@@ -1,6 +1,23 @@
-
+<!--
+---
+title: Integrate WatsonX with Label Studio
+type: guide
+tier: all
+order: 15
+hide_menu: true
+hide_frontmatter_title: true
+meta_title: Using WatsonX with Label Studio
+categories:
+    - Computer Vision
+    - Video Annotation
+    - Object Detection
+    - Segment Anything Model
+image: "/tutorials/watsonx.png"
+---
+-->
 
 # Integrate WatsonX to Label Studio
+
 WatsonX offers a suite of machine learning tools, including access to many LLMs, prompt
 refinement interfaces, and datastores via WatsonX.data. When you integrate WatsonX with Label Studio, you get 
 access to these models and can automatically keep your annotated data up to date in your WatsonX.data tables. 
@@ -13,8 +30,12 @@ on webhooks, see [our documentation](https://labelstud.io/guide/webhooks)
 
 See the configuration notes at the bottom for details on how to set up your environment variables to get the system to work.
 
+For a video demonstration, see [Integrating Label Studio with IBM WatsonX](https://www.youtube.com/watch?v=9iP2yO4Geqc).
+
+<video src="https://www.youtube.com/watch?v=9iP2yO4Geqc" controls="controls" style="max-width: 800px;" class="gif-border" />
+
 ## Setting up your label_config
-For this project, we reccoment you start with the labeling config as defined below, but you can always edit it or expand it to
+For this project, we recommend you start with the labeling config as defined below, but you can always edit it or expand it to
 meet your needs! Crucially, there must be a `<TextArea>` tag for the model to insert its response into. 
 
     <View>
@@ -138,13 +159,13 @@ The following parameters allow you to link the WatsonX models to Label Studio:
 
 The following parameters allow you to use the webhook connection to transfer data from Label Studio to WatsonX.data:
 
--`WATSONX_ENG_USERNAME`- MUST be `ibmlhapikey` for the intergration to work.
+-`WATSONX_ENG_USERNAME`- MUST be `ibmlhapikey` for the integration to work.
 
-To get the host and port information below, you can folllow the steps under [Pre-requisites](https://cloud.ibm.com/docs/watsonxdata?topic=watsonxdata-con-presto-serv#conn-to-prestjava).
+To get the host and port information below, you can follow the steps under [Pre-requisites](https://cloud.ibm.com/docs/watsonxdata?topic=watsonxdata-con-presto-serv#conn-to-prestjava).
 
 - `WATSONX_ENG_HOST` - the host information for your WatsonX.data Engine
 - `WATSONX_ENG_PORT` - the port information for your WatsonX.data Engine
 - `WATSONX_CATALOG` - the name of the catalog for the table you'll insert your data into. Must be created in the WatsonX.data platform.
-- `WATSONX_SCHEMA` - the name of the schema for the table you'll insert your data into. Must be created in the WatsonX.data platofrm.
+- `WATSONX_SCHEMA` - the name of the schema for the table you'll insert your data into. Must be created in the WatsonX.data platform.
 - `WATSONX_TABLE` - the name of the table you'll insert your data into. Does not need to be already created.