fixed suggested changes
"metadata": {},
"source": [
"Since the [RESISC45 Dataset](https://arxiv.org/abs/1703.00121) is publically available, we will download the data from the [Tensorflow website](https://www.tensorflow.org/datasets/catalog/resisc45).\n",
- "The name of the dataset we will be downloading is <b>NWPU-RESISC45.rar</b> <br>\n",
- "- Citation : `@article{cheng2017remote,\n",
- " title={Remote sensing image scene classification: Benchmark and state of the art},\n",
- " author={Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},\n",
- " journal={Proceedings of the IEEE},\n",
- " volume={105},\n",
- " number={10},\n",
- " pages={1865--1883},\n",
- " year={2017},\n",
- " publisher={IEEE}\n",
- "}`"
+ "The name of the dataset we will be downloading is <b>NWPU-RESISC45.rar</b> <br>"
]
},
{
"- `dataset_type` : The type of dataset getting passed to the Feature Classifier.\n",
"- `batch_size`: Number of images your model will train on each step inside an epoch. <b>This directly depends on the memory of your graphic card</b>. 128 worked for us on a 32GB GPU.\n",
"\n",
- "Since we are using the dataset from external source for training our `FeatureClassifier`, we will be using <b>Imagenet</b> as dataset_type."
+ "Since we are using the dataset from external source for training our `FeatureClassifier`, we will be using <b>Imagenet</b> as `dataset_type`."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Here, with only 20 epochs, we can see reasonable results, as both training and validation losses have decreased considerably, indicating that the model is learning to classify image scenes."
+ "Here only after 20 epochs both training and validation losses have decreased considerably, indicating that the model is learning to classify image scenes."
]
},
{
"model.show_results(rows=4)"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Here, with only 20 epochs, we can see reasonable results."
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this notebook, we demonstrated how to use the `FeatureClassifier` model from the `ArcGIS API for Python` to classify image scenes using training data from an external source."
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "- Citation : `@article{cheng2017remote,\n",
+ " title={Remote sensing image scene classification: Benchmark and state of the art},\n",
+ " author={Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},\n",
+ " journal={Proceedings of the IEEE},\n",
+ " volume={105},\n",
+ " number={10},\n",
+ " pages={1865--1883},\n",
+ " year={2017},\n",
+ " publisher={IEEE}\n",
+ "}`"
+ ]
}
],
"metadata": {
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.11"
+ "version": "3.9.11"
}
},
"nbformat": 4,
