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deepfruits/README.dataset.txt

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+# deepfruits-mango-xs1as-tkygw-uxnm > 2025-03-13 3:17pm
+https://universe.roboflow.com/rf-100-vl/deepfruits-mango-xs1as-tkygw-uxnm
+
+Provided by a Roboflow user
+License: MIT
+
+# Overview
+- [Introduction](#introduction)
+- [Object Classes](#object-classes)
+  - [Class 1](#class-1)
+
+# Introduction
+The dataset focuses on detecting mangoes on trees, aiding in agricultural management and harvest optimization. The dataset consists of images captured in various lighting and occlusion conditions, with a single class:
+
+- Mango: Mango fruits hanging on trees.
+
+# Object Classes
+
+## Class 1: Mango
+### Description
+Mangoes are oval or oblong-shaped fruits that can vary in size. They typically appear smooth and are often found attached to tree branches. Their surface can show gradients when captured in sunlight.
+
+### Instructions
+- **Annotate all visible mangoes**: Draw a bounding box around each mango in the image, ensuring to cover the entire visible area of the fruit.
+- **Handle occlusions carefully**: If a mango is partially obscured by leaves or branches, guess the occluded portion based on visible parts. 
+- **Edge scenarios**: If a mango is cut off by the image boundary, stop the bounding box at the edge.
+- **Avoid small or unclear visuals**: Do not annotate objects that are too small, don't too confidently identify visually unclear objects as mangoes.
+- **Exclude non-mango objects**: Ensure you are not labeling leaves, branches or other tree parts; focus solely on the mangoes.

deepfruits/README.roboflow.txt

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+
+deepfruits-mango-xs1as-tkygw-uxnm - v3 2025-03-13 3:17pm
+==============================
+
+This dataset was exported via roboflow.com on March 14, 2025 at 3:05 AM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 170 images.
+Deepfruits-mango-xs1as-tkygw-uxnm are annotated in COCO format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+

deepfruits/test/_annotations.coco.json

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