Update README.md

correcting annotation format

README.md

@@ -20,7 +20,7 @@ size_categories: 10K<n<100K
 <!-- Provide a quick summary of what the dataset is or can be used for. --> 
 
 ## Dataset Details
-This is a dataset containing annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs collected at [The Wilds](https://www.thewilds.org/) in Ohio. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. The dataset includes frames from various sessions, with annotations indicating the presence of animals in the images in COCO format. The dataset is designed to facilitate research in wildlife monitoring and conservation using autonomous drones.
+This is a dataset containing annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs collected at [The Wilds](https://www.thewilds.org/) in Ohio. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. The dataset includes frames from various sessions, with annotations indicating the presence of animals in the images in YOLO format. The dataset is designed to facilitate research in wildlife monitoring and conservation using autonomous drones.
 
 
 ### Dataset Description
@@ -34,7 +34,7 @@ This is a dataset containing annotated video frames of giraffes, Grevy's zebras,
 This dataset contains video frames collected at [The Wilds Conservation Center](https://www.thewilds.org/) in Ohio, USA, using drones. The Wilds is a 10,000 acre safari park and conservation center that is home to a variety of endangered species. The dataset includes video frames of African Painted Dogs, Giraffes, Persian Onangers, and Grevy's Zebras, captured during different sessions. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. 
 
 
-The dataset consists of frames. Each frame is accompanied by annotations in COCO format, indicating the presence of animals and their bounding boxes within the images. The annotations were completed manually by the dataset curator using [CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools).
+The dataset consists of frames. Each frame is accompanied by annotations in YOLO format, indicating the presence of animals and their bounding boxes within the images. The annotations were completed manually by the dataset curator using [CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools).
 
 | Session | Date Collected | Size (pixels) | Total Frames | Species           | Drone Model    | Video IDs
 |---------|---------------|---------------|--------------|-------------------|----------------|----------------| 
@@ -94,7 +94,7 @@ The dataset is intended for use in training and evaluating computer vision model
 ```
 
 ### Data Instances
-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.  
+All images are names <video_id>_<frame_number>.jpg, each within a folder named for the date of the session. The annotations are in YOLO format and are stored in a corresponding .txt file with the same name as the image.  
 
 
 ### Data Fields
@@ -140,7 +140,7 @@ This is what _you_ did to it following collection from the original source; it w
 The African Painted Dog missions were collected manually using a [DJI Mavic Mini drone](https://www.dji.com/support/product/mavic-mini), while the Giraffe, Persian Onanger, and Grevy's Zebra missions were collected using a [Parrot Anafi drone](https://www.parrot.com/us/drones/anafi). The Grevy's zebras and giraffe missions were conducted semi-autonomously using the WildWing system, while the Persian onager data was collected manually. The drones were flown over the Wilds Conservation Center in Ohio, capturing video footage of the animals in their natural habitat.
 
 
-The videos were annotated manually using the Computer Vision Annotation Tool ([CVAT](https://www.cvat.ai/)) and the [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.
+The videos were annotated manually using the Computer Vision Annotation Tool ([CVAT](https://www.cvat.ai/)) and the [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 YOLO format, with bounding boxes indicating the presence of zebras in each frame.
 
 <!-- #### Who are the source data producers?
 [More Information Needed] -->
@@ -158,7 +158,7 @@ Ex: We standardized the taxonomic labels provided by the various data sources to
 
 
 #### Annotation process
-[CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools) were used to annotate the video frames. The annotation process involved manually labeling the presence of animals in each frame, drawing bounding boxes around them, and converting the annotations to COCO format.
+[CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools) were used to annotate the video frames. The annotation process involved manually labeling the presence of animals in each frame, drawing bounding boxes around them, and converting the annotations to YOLO format.
 <!-- This section describes the annotation process such as annotation tools used, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
 
 #### Who are the annotators?