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Optimize Docs images (#15900)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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docs/en/datasets/detect/african-wildlife.md
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@ -91,7 +91,7 @@ To train a YOLOv8n model on the African wildlife dataset for 100 epochs with an
The African wildlife dataset comprises a wide variety of images showcasing diverse animal species and their natural habitats. Below are examples of images from the dataset, each accompanied by its corresponding annotations.
![African wildlife dataset sample image](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/919f8190-ccf3-4a96-a5f1-55d9eebc77ec)
![African wildlife dataset sample image](https://github.com/ultralytics/docs/releases/download/0/african-wildlife-dataset-sample.avif)
- **Mosaiced Image**: Here, we present a training batch consisting of mosaiced dataset images. Mosaicing, a training technique, combines multiple images into one, enriching batch diversity. This method helps enhance the model's ability to generalize across different object sizes, aspect ratios, and contexts.