Update How to load a dataset.ipynb

Author: andife

notebooks/How to load a dataset.ipynb

@@ -20,7 +20,7 @@
     "\n",
     "Any implemented dataset on this repository run the following pipeline\n",
     "\n",
-    "- **Dataset specific** loading: The first step is specific to a dataset. This repository provide method to load dataset that follow the coco, voc or Tensorflow csv format. If you want to support an other format you can considere to implement your own pipeline following our tutorial (DETR Tensorflow - How to setup a custom dataset.ipynb) or post a feature request on the github. \n",
+    "- **Dataset specific** loading: The first step is specific to a dataset. This repository provides method to load dataset that follow the coco, voc or Tensorflow csv format. If you want to support an other format you can considere to implement your own pipeline following our tutorial (DETR Tensorflow - How to setup a custom dataset.ipynb) or post a feature request on the github. \n",
     "\n",
     "- **DETR transformations/augmentations**: the provided methods apply the transformations and augmentations needed on your data\n",
     "- **Image normalization**: The pipeline will also normalizations your image before to call return the final data\n",
@@ -38,7 +38,7 @@
     "\n",
     "## Coco Dataset\n",
     "\n",
-    "If you're dataset follow the Coco Dataset format, then detr_tf provide you with a method to automaticly load your dataset. Any coco dataset is made of at least one image's directory and one json annotation file following the coco instance json format.\n",
+    "If you're dataset follow the Coco Dataset format, then detr_tf provide you with a method to automatically load your dataset. Any coco dataset is made of at least one image's directory and one json annotation file following the coco instance json format.\n",
     "\n",
     "### Training config for a coco dataset\n"
    ]
@@ -145,7 +145,7 @@
    "source": [
     "## Voc Dataset\n",
     "\n",
-    "If you're dataset follow the Voc Dataset format, then detr_tf provide you with a method to automaticly load your dataset.A voc dataset is at least made of one image folder and one xml folder (XMLs and Images can be stored in the same directory)\n",
+    "If you're dataset follow the Voc Dataset format, then detr_tf provide you with a method to automaticly load your dataset. A voc dataset is at least made of one image folder and one xml folder (XMLs and Images can be stored in the same directory)\n",
     "\n",
     "### ### Training config for a VOC dataset"
    ]
@@ -241,7 +241,7 @@
    "source": [
     "## Tensorflow csv Dataset\n",
     "\n",
-    "If you're dataset follow the Tensorflow csv format, then detr_tf provide you with a method to automaticly load your dataset. Any tfcsv dataset is made of at least one image's directory and one csv annotation file following the tensorflow csv format object detection format.\n",
+    "If you're dataset follow the Tensorflow csv format, then detr_tf provide you with a method to automatically load your dataset. Any tfcsv dataset is made of at least one image's directory and one csv annotation file following the tensorflow csv format object detection format.\n",
     " \n",
     "\n",
     "\n",