ultralytics 8.0.201 docs alt tags and fonts updates (#5886)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Michael Currie <mcurrie@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-10-24 21:57:55 +02:00 committed by GitHub
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@ -6,7 +6,7 @@ keywords: Ultralytics, YOLOv8, Image Classification, Pretrained Models, YOLOv8n-
# Image Classification
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418606-adf35c62-2e11-405d-84c6-b84e7d013804.png">
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418606-adf35c62-2e11-405d-84c6-b84e7d013804.png" 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.

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

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@ -6,7 +6,7 @@ keywords: Ultralytics, YOLO, YOLOv8, pose estimation, keypoints detection, objec
# Pose Estimation
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418616-9811ac0b-a4a7-452a-8aba-484ba32bb4a8.png">
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418616-9811ac0b-a4a7-452a-8aba-484ba32bb4a8.png" 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.

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@ -6,7 +6,7 @@ keywords: yolov8, instance segmentation, Ultralytics, COCO dataset, image segmen
# Instance Segmentation
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418644-7df320b8-098d-47f1-85c5-26604d761286.png">
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418644-7df320b8-098d-47f1-85c5-26604d761286.png" 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.