| # 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. |