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- orgharvest/README.dataset.txt +38 -0
- orgharvest/README.roboflow.txt +27 -0
- orgharvest/test/13_jpg.rf.9769acb625a65fab6669485d38ffecae.jpg +3 -0
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orgharvest/README.dataset.txt
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# orgharvest-vgfsu-ocxq > 2025-03-13 6:06am
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https://universe.roboflow.com/rf-100-vl/orgharvest-vgfsu-ocxq
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Provided by a Roboflow user
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License: MIT
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# Overview
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- [Introduction](#introduction)
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- [Object Classes](#object-classes)
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- [Unripe](#unripe)
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- [Harvest](#harvest)
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# Introduction
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This dataset focuses on the detection of citrus fruits at different stages of ripeness. The objective is to assist in automated harvesting by distinguishing between unripe and ripe (harvestable) fruits. The dataset contains two classes:
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- **Unripe**: Citrus fruits that are not yet ready for harvest.
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- **Harvest**: Ripe citrus fruits that are ready to be harvested.
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# Object Classes
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## Unripe
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### Description
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The unripe class consists of citrus fruits that have not fully developed the characteristics of ripe fruits. These are typically smaller and may have a more muted appearance, not exhibiting the full color transformation that is seen in ripe fruits.
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### Instructions
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- Locate all unripe fruits within the frame. These are usually smaller in size and lack the vibrant coloration of ripe fruits.
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- Draw bounding boxes tightly around each unripe fruit, making sure to capture the entire fruit. Do not include surrounding leaves or stems unless they obscure the boundary of the fruit.
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- Do not annotate fruits that are partially visible if less than half of the fruit is visible or if the fruit is not distinguishable.
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- Avoid labeling fruits that are shadowed or occluded to the extent that their ripeness is indeterminable.
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## Harvest
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### Description
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The harvest class includes citrus fruits that are fully ripe and ready for picking. These fruits are generally larger and exhibit a bright, saturated appearance, indicating readiness for harvest.
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### Instructions
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- Identify all ripe fruits in the image. These fruits often appear prominently within the foliage.
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- Create bounding boxes around each harvestable fruit, ensuring to encompass the full visible extent of the fruit. Focus on the distinctive round shape and substantial size.
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- Exclude any elements that do not belong to the fruit itself, such as branches and surrounding leaves, unless they obscure the fruit boundary.
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- Do not annotate any fruits that are significantly obscured or lack sufficient size and shape details to confirm ripeness.
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orgharvest-vgfsu-ocxq - v1 2025-03-13 6:06am
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==============================
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This dataset was exported via roboflow.com on March 14, 2025 at 4:40 AM GMT
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
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* understand and search unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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For state of the art Computer Vision training notebooks you can use with this dataset,
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visit https://github.com/roboflow/notebooks
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To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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The dataset includes 248 images.
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Orgharvest-vgfsu-ocxq are annotated in COCO format.
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The following pre-processing was applied to each image:
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No image augmentation techniques were applied.
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orgharvest/test/_annotations.coco.json
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{"info": {"year": "2025", "version": "1", "description": "Exported from roboflow.com", "contributor": "", "url": "https://public.roboflow.com/object-detection/undefined", "date_created": "2025-03-14T04:40:15+00:00"}, "licenses": [{"id": 1, "url": "https://choosealicense.com/licenses/mit/", "name": "MIT"}], "categories": [{"id": 0, "name": "Unripe", "supercategory": "orgharvest-vgfsu-ocxq"}, {"id": 1, "name": "harvest", "supercategory": "orgharvest-vgfsu-ocxq"}], "images": [{"id": 0, "license": 1, "file_name": "DSC09560_JPG.rf.47601a35b0b948106d77506e44ff7565.jpg", "height": 640, "width": 640, "date_captured": "2025-03-14T04:40:15+00:00", "extra": {"name": "DSC09560_JPG"}}, {"id": 1, "license": 1, "file_name": "DSC09541_JPG.rf.428c86957b8ce489ad70a59b4bf46175.jpg", "height": 640, "width": 640, "date_captured": "2025-03-14T04:40:15+00:00", "extra": {"name": "DSC09541_JPG"}}, {"id": 2, "license": 1, "file_name": "33_jpg.rf.0eb72b58ddc156fa344d043fa7ccbe47.jpg", "height": 640, "width": 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