Update README.md

README.md

@@ -24,4 +24,9 @@ language:
 - tr
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-This dataset is combined and deduplicated version of (coco-2014)[https://huggingface.co/datasets/detection-datasets/coco] and (coco-2017)[https://huggingface.co/datasets/rafaelpadilla/coco2017] datasets for object detection.
+This dataset is combined and deduplicated version of (coco-2014)[https://huggingface.co/datasets/detection-datasets/coco] and (coco-2017)[https://huggingface.co/datasets/rafaelpadilla/coco2017] datasets for object detection. The labels are in Turkish and the dataset is in an instruction-tuning format with separate columns for prompts and completion labels. 
+
+For the bounding boxes, a similar annotation scheme to that of PaliGemma annotation is used. That is, 
+```
+The bounding box coordinates are in the form of special <loc[value]> tokens, where value is a number that represents a normalized coordinate. Each detection is represented by four location coordinates in the order x_min(left), y_min(top), x_max(right), y_max(bottom), followed by the label that was detected in that box. To convert values to coordinates, you first need to divide the numbers by 1024, then multiply y by the image height and x by its width. This will give you the coordinates of the bounding boxes, relative to the original image size.
+```