Update README.md

README.md

@@ -56,27 +56,26 @@ The dataset is intended for use in training and evaluating computer vision model
 ## Dataset Structure
 ```​
 /dataset/
-    <20250131>/
-        <classes.txt>
-        <video_id_20250311 1>.jpg
-         <video_id_20250311 1>.txt
-        <video_id_20250311 2>.jpg
+    <session_1>/
+        classes.txt>
+        <video_id>_000000.jpg
+        <video_id>_000000.txt
+        <video_id>_000001.jpg
         ...
-        <video_id_20250311 n>.jpg
-        <video_id_20250311 n>.txt
-    <20250201>/
-        <classes.txt>
-        <video_id_20250201 1>.jpg
-        <video_id_20250201 1>.txt
-        <video_id_20250201 2>.jpg
+        <video_id>_<frame_number>.jpg
+        <video_id>_<frame_number>.txt
+    <session_2>/
+        classes.txt
+        <video_id>_000000.jpg
+        <video_id>_000000.txt
+        <video_id>_000001.jpg
         ...
-        <video_id_20250201 n>.jpg
-        <video_id_20250201 n>.txt
-    metadata.csv
+        <video_id>_<frame_number>.jpg
+        <video_id>_<frame_number>.txt
 ```
 
 ### Data Instances
-All images are names <video_id>.jpg, each within a folder named for the date of the session. The annotations are in COCO format and are stored in a corresponding .txt file with the same name as the image. 2025-01-31 and 2025-02-01 are the two days of data collection, with a total of 7 sessions. 2025-01-31 has 5 sessions and 2025-02-01 has 2 sessions. 
+All images are names <video_id>_<frame_number>.jpg, each within a folder named for the date of the session. The annotations are in COCO format and are stored in a corresponding .txt file with the same name as the image. 2025-01-31 and 2025-02-01 are the two days of data collection, with a total of 7 sessions. 2025-01-31 has 5 sessions and 2025-02-01 has 2 sessions. 
 
 
 ### Data Fields
@@ -117,9 +116,9 @@ The dataset was created to facilitate research in wildlife monitoring and conser
 This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
 -->
 
-The data was collected using the WildWing system, which autonomously captures video footage of wildlife in their natural habitat. The data collection process involved flying the drone over the Ol Pejeta Conservancy in Kenya, where Plains zebras were observed. The missions were flown during the WildDrone Hackathon in January 2025, with the goal of capturing high-quality video footage for analysis.
+The data was collected using the [WildWing](https://github.com/Imageomics/wildwing) system, which autonomously captures video footage of wildlife in their natural habitat. The data collection process involved flying the drone over the [Ol Pejeta Conservancy](https://www.olpejetaconservancy.org/) in Kenya, where Plains zebras were observed. The missions were flown during the [WildDrone](https://wilddrone.eu/) Hackathon in January 2025, with the goal of capturing high-quality video footage for analysis.
 
-The videos were annotated manually using the Computer Vision Annotation Tool (CVAT) and the kabr-tools library. These detection annotations and original video files were then processed to extract individual frames, which were saved as JPEG images. The annotations were converted to COCO format, with bounding boxes indicating the presence of zebras in each frame.
+The videos were annotated manually using the Computer Vision Annotation Tool [CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools) library. These detection annotations and original video files were then processed to extract individual frames, which were saved as JPEG images. The annotations were converted to COCO format, with bounding boxes indicating the presence of zebras in each frame.
 
 <!-- #### Who are the source data producers?
 [More Information Needed] -->
@@ -167,7 +166,7 @@ This section is meant to convey recommendations with respect to the bias, risk,
 
 ## Licensing Information
 
-This dataset (the compilation) has been marked as dedicated to the public domain by applying the [CC0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/). However, images may be licensed under different terms (as noted above).
+This dataset (the compilation) has been marked as dedicated to the public domain by applying the [CC0-1.0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/). However, images may be licensed under different terms (as noted above).
 
 
 ## Citation