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README.md

@@ -20,7 +20,9 @@ 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, and Plains zebras collected at the Mpala Research Center in Kenya. 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, and Plains zebras collected at the Mpala Research Center in Kenya. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery.
+
+The annotations indicate 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.
 
 
 ### Dataset Description
@@ -48,7 +50,7 @@ Sessions 1 and 2 are part of the [original KABR data release](https://huggingfac
 The dataset consists of 104,062 frames. Each frame is accompanied by annotations in COCO format, indicating the presence of zebras and giraffes 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 | Total Frames | Species | Video File IDs |
+| Session | Date Collected | Total Frames | Species | Video File IDs in Session |
 |---------|---------------|--------------|---------|----------------|
 | `session_1` | 2023-01-12 | 16,891 | Giraffe | DJI_0001, DJI_0002 |
 | `session_2` | 2023-01-17 | 11,165 | Plains zebra | DJI_0005, DJI_0006 |
@@ -59,8 +61,7 @@ The dataset consists of 104,062 frames. Each frame is accompanied by annotations
 
 This table shows the data collected at Mpala Research Center in Laikipia, Kenya, with session information, dates, frame counts, and primary species observed.
 
-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 extracted from drone videos captured during five distinct data collection sessions. Each session represents a separate field excursion lasting approximately one hour, conducted at a specific geographic location. Multiple sessions may occur on the same day but in different locations or targeting different animal groups. During each session, multiple drone videos were recorded to capture animals in their natural habitat under varying environmental conditions.
 
 
 ## Dataset Structure