diff --git a/docs/source/en/tasks_explained.md b/docs/source/en/tasks_explained.md index 7c836f70cfc427..1cc60ba096f04f 100644 --- a/docs/source/en/tasks_explained.md +++ b/docs/source/en/tasks_explained.md @@ -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! - \ No newline at end of file +