HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Optimize Docs images (#15900)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
parent 0f9f7b806c
commit cfebb5f26b
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
174 changed files with 537 additions and 537 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/en/tasks/classify.md
View file

@ -7,7 +7,7 @@ model_name: yolov8n-cls
# Image Classification
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418606-adf35c62-2e11-405d-84c6-b84e7d013804.png" alt="Image classification examples">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/image-classification-examples.avif" alt="Image classification examples">
Image classification is the simplest of the three tasks and involves classifying an entire image into one of a set of predefined classes.

2
docs/en/tasks/detect.md
View file

@ -6,7 +6,7 @@ keywords: object detection, YOLOv8, pretrained models, training, validation, pre
# Object Detection
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418624-5785cb93-74c9-4541-9179-d5c6782d491a.png" alt="Object detection examples">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/object-detection-examples.avif" alt="Object detection examples">
Object detection is a task that involves identifying the location and class of objects in an image or video stream.

2
docs/en/tasks/index.md
View file

@ -7,7 +7,7 @@ keywords: Ultralytics YOLOv8, detection, segmentation, classification, oriented
# Ultralytics YOLOv8 Tasks
<br>
<img width="1024" src="https://raw.githubusercontent.com/ultralytics/assets/main/im/banner-tasks.png" alt="Ultralytics YOLO supported tasks">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/ultralytics-yolov8-tasks-banner.avif" alt="Ultralytics YOLO supported tasks">
YOLOv8 is an AI framework that supports multiple computer vision **tasks**. The framework can be used to perform [detection](detect.md), [segmentation](segment.md), [obb](obb.md), [classification](classify.md), and [pose](pose.md) estimation. Each of these tasks has a different objective and use case.

6
docs/en/tasks/obb.md
View file

@ -44,9 +44,9 @@ The output of an oriented object detector is a set of rotated bounding boxes tha
## Visual Samples
| Ships Detection using OBB | Vehicle Detection using OBB |
| :-----------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------: |
| ![Ships Detection using OBB](https://github.com/RizwanMunawar/ultralytics/assets/62513924/5051d324-416f-4b58-ab62-f1bf9d7134b0) | ![Vehicle Detection using OBB](https://github.com/RizwanMunawar/ultralytics/assets/62513924/9a366262-910a-403b-a5e2-9c68b75700d3) |
| Ships Detection using OBB | Vehicle Detection using OBB |
| :------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------: |
| ![Ships Detection using OBB](https://github.com/ultralytics/docs/releases/download/0/ships-detection-using-obb.avif) | ![Vehicle Detection using OBB](https://github.com/ultralytics/docs/releases/download/0/vehicle-detection-using-obb.avif) |
## [Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/cfg/models/v8)

2
docs/en/tasks/pose.md
View file

@ -7,7 +7,7 @@ model_name: yolov8n-pose
# Pose Estimation
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418616-9811ac0b-a4a7-452a-8aba-484ba32bb4a8.png" alt="Pose estimation examples">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/pose-estimation-examples.avif" alt="Pose estimation examples">
Pose estimation is a task that involves identifying the location of specific points in an image, usually referred to as keypoints. The keypoints can represent various parts of the object such as joints, landmarks, or other distinctive features. The locations of the keypoints are usually represented as a set of 2D `[x, y]` or 3D `[x, y, visible]` coordinates.

2
docs/en/tasks/segment.md
View file

@ -7,7 +7,7 @@ model_name: yolov8n-seg
# Instance Segmentation
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418644-7df320b8-098d-47f1-85c5-26604d761286.png" alt="Instance segmentation examples">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/instance-segmentation-examples.avif" alt="Instance segmentation examples">
Instance segmentation goes a step further than object detection and involves identifying individual objects in an image and segmenting them from the rest of the image.