on-tree mango-branch instance segmentation dataset

<p dir="ltr">The dataset has been prepared for use in machine vision-based mango fruit and branch localisation for detection of fruit-branch occlusion. Images are from Honey Gold and Keitt mango varieties. The dataset contains: </p><p dir="ltr">- 250 RGB images (200 training + 50 test images) of mango tree canopies acquired using Azure Kinect Camera under artificial lighting condition. </p><p dir="ltr">- COCO JSON format label files with multi class (mango+branch), single classes (mango only and branch only) polygon annotations. </p><p dir="ltr">- Labels converted to txt format to use for YOLOv8-seg + other models training. </p><p dir="ltr">Annotation: The annotation tool - VGG Image Annotator (VIA) was used for ground truth labeling of images using polygon labelling tool.</p>