Data

on-tree mango-branch instance segmentation dataset

Central Queensland University
Chiranjivi Neupane (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/26212598.v1&rft.title=on-tree mango-branch instance segmentation dataset&rft.identifier=10.25946/26212598.v1&rft.publisher=Central Queensland University&rft.description=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.&rft.creator=Chiranjivi Neupane&rft.date=2024&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Pattern recognition&rft_subject=Image processing&rft_subject=Computer vision&rft_subject=mango&rft_subject=Machine learning&rft_subject=fruit sizing&rft_subject=fruit-branch occlusion detection&rft_subject=machine vision&rft_subject=deep-learning&rft_subject=image processing&rft.type=dataset&rft.language=English Access the data
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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.

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Subjects
Computer vision | Image processing | Machine learning | Pattern recognition | deep-learning | fruit sizing | fruit-branch occlusion detection | image processing | machine vision | mango |

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