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fix(README): some typos #1853

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2 changes: 1 addition & 1 deletion docs/train_custom_data.md
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Expand Up @@ -24,7 +24,7 @@ You can also write the Dataset by your own. Let's take the [VOC](https://github.
return img, target, img_info, img_id
```

One more thing worth noting is that you should also implement [pull_item](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/data/datasets/voc.py#L129) and [load_anno](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/data/datasets/voc.py#L121) method for the `Mosiac` and `MixUp` augmentations.
One more thing worth noting is that you should also implement [pull_item](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/data/datasets/voc.py#L129) and [load_anno](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/data/datasets/voc.py#L121) method for the `Mosaic` and `MixUp` augmentations.

**Step 3** Prepare the evaluator. We currently have [COCO evaluator](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/evaluators/coco_evaluator.py) and [VOC evaluator](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/yolox/evaluators/voc_evaluator.py).
If you have your own format data or evaluation metric, you can write your own evaluator.
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