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fix: Wrong task mentioned in docs (#34757)

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docs/source/en/tasks_explained.md
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@ -182,7 +182,7 @@ There are three main components to Mask2Former:
The mask predictions are generated by combining the pixel-embeddings with the final decoder hidden states. The sigmoid cross-entropy and dice loss is calculated between the logits and the ground truth mask to find the most likely mask.
Ready to try your hand at object detection? Check out our complete [image segmentation guide](tasks/semantic_segmentation) to learn how to finetune SegFormer and use it for inference!
Ready to try your hand at image segmentation? Check out our complete [image segmentation guide](tasks/semantic_segmentation) to learn how to finetune SegFormer and use it for inference!
### Depth estimation
@ -292,4 +292,4 @@ Ready to try your hand at translation? Check out our complete [translation guide
For more information about text generation, check out the [text generation strategies](generation_strategies) guide!
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