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on-tree mango-branch instance segmentation dataset
- researchdata.edu.au
- acquire.cqu.edu.au
Updated Jul 19, 2024
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EmailClick to copy linkLink copiedCiteChiranjivi Neupane (2024). on-tree mango-branch instance segmentation dataset [Dataset]. http://doi.org/10.25946/26212598.V1Unique identifierhttps://doi.org/10.25946/26212598.V1Dataset updatedJul 19, 2024Dataset provided byCentral Queensland UniversityAuthorsChiranjivi NeupaneLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe 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:
- 250 RGB images (200 training + 50 test images) of mango tree canopies acquired using Azure Kinect Camera under artificial lighting condition.
- COCO JSON format label files with multi class (mango+branch), single classes (mango only and branch only) polygon annotations.
- Labels converted to txt format to use for YOLOv8-seg + other models training.
Annotation: The annotation tool - VGG Image Annotator (VIA) was used for ground truth labeling of images using polygon labelling tool.
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FacebookTwitterEmailon-tree mango-branch instance segmentation dataset
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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:
- 250 RGB images (200 training + 50 test images) of mango tree canopies acquired using Azure Kinect Camera under artificial lighting condition.
- COCO JSON format label files with multi class (mango+branch), single classes (mango only and branch only) polygon annotations.
- Labels converted to txt format to use for YOLOv8-seg + other models training.
Annotation: The annotation tool - VGG Image Annotator (VIA) was used for ground truth labeling of images using polygon labelling tool.