"
],
"text/plain": [
""
]
},
"metadata": {
"tags": []
},
"output_type": "display_data"
}
],
"source": [
"# Fine-tune model on our dataset\n",
"learner.fine_tune(15)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cDhkz7anxKFQ"
},
"source": [
"In this case, we reached 96.2% validation accuracy in about 25 minutes!\n",
"\n",
"Let's preview some sample predictions using fastai:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 551
},
"executionInfo": {
"elapsed": 1276,
"status": "ok",
"timestamp": 1612367009471,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "QtpHCflpO5Sd",
"outputId": "0fa36695-34c0-4131-97c7-3c65d54f63d5"
},
"outputs": [
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {
"tags": []
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light",
"tags": []
},
"output_type": "display_data"
}
],
"source": [
"learner.show_results()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Save model checkpoint\n",
"\n",
"Let's save a checkpoint of our model so we can load it later."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 1147,
"status": "ok",
"timestamp": 1612363720944,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "J-cGS4RnOqcC",
"outputId": "996ec90a-c68e-43cc-c438-2caff0b64a67"
},
"outputs": [
{
"data": {
"text/plain": [
"Path('models/xresnet34-malaria.pth')"
]
},
"execution_count": 16,
"metadata": {
"tags": []
},
"output_type": "execute_result"
}
],
"source": [
"# Save model checkpoint\n",
"learner.save(\"xresnet34-malaria\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you're working in a Colab notebook and would like to download your model, you can do so as follows:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"executionInfo": {
"elapsed": 201,
"status": "ok",
"timestamp": 1612366146569,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "4RpC2jDIgoGC",
"outputId": "e7348b4f-1671-4034-cc7c-831d193ccd0f"
},
"outputs": [],
"source": [
"# (Colab only) Download model to your machine\n",
"from google.colab import files\n",
"\n",
"files.download(\"models/xresnet34-malaria.pth\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UepamkG9WM78"
},
"source": [
"### (Future use) Load saved model\n",
"\n",
"Run this block if you would like to load a model that your previously trained and exported as a checkpoint.\n",
"\n",
"For Colab users, run this first block to upload the checkpoint from your local machine:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "4uZ36ksog8pd"
},
"outputs": [],
"source": [
"# (Colab only) Upload model from your machine\n",
"from google.colab import files\n",
"\n",
"uploaded = files.upload()\n",
"for filename in uploaded.keys():\n",
" print(\"Uploaded '%s'\" % filename)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"fastai expects the model to be in a `models/` directory, so let's move it:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 334,
"status": "ok",
"timestamp": 1612371462793,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "FBMTOesDsxr4",
"outputId": "6bc19f40-e7d1-48f8-97b8-69a40de89acb"
},
"outputs": [],
"source": [
"%%bash\n",
"\n",
"mkdir -p models/\n",
"mv xresnet34-malaria.pth models/"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can load the saved model:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 100,
"referenced_widgets": [
"dfe11b89f27a43ef9db67ccb96d3bad2",
"c6c98e77502045719bc02b0a116e01a5",
"307700e692704d128c9000235a6f17c5",
"c0b89280a59d4f31aec03b9361fcffdd",
"9e103a1d535a40fd8f417c8689884b8b",
"411eb725c43c4adf9340a0a27ef061da",
"8547c80a5f2645fea1d61c9a6d8cec16",
"702a1184a1314468ba935e167a863cf8"
]
},
"executionInfo": {
"elapsed": 7493,
"status": "ok",
"timestamp": 1612371479119,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "DChIeMJrZHUJ",
"outputId": "f0d038dd-ee4c-4da4-ef26-7f10b5aab992"
},
"outputs": [],
"source": [
"# Loads `models/xresnet34-malaria.pth` generated by `.save()` \n",
"learner = cnn_learner(data, xresnet34, metrics=[accuracy]).to_fp16()\n",
"learner.load(\"xresnet34-malaria\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hV93h3znclLA"
},
"source": [
"## Evaluating model with FiftyOne\n",
"\n",
"While 96% accuracy sounds great, aggregate evaluation metrics are not enough to get a full understanding of the performance of a model and what needs to be done to further improve it.\n",
"\n",
"### Add predictions to FiftyOne dataset\n",
"\n",
"Let's [add our model's predictions](https://voxel51.com/docs/fiftyone/user_guide/using_datasets.html#labels) to our FiftyOne dataset so we can evaluate it in more detail:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"executionInfo": {
"elapsed": 126029,
"status": "ok",
"timestamp": 1612376226746,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "1yZEeDjb822j",
"outputId": "207e8d8c-ec0a-4359-88fc-858ab50cd368"
},
"outputs": [
{
"data": {
"text/html": [],
"text/plain": [
""
]
},
"metadata": {
"tags": []
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 100% |███| 22047/22047 [1.1m elapsed, 0s remaining, 324.2 samples/s] \n"
]
}
],
"source": [
"from fiftyone import ViewField as F\n",
"\n",
"def do_inference(learner, dl, dataset, classes, tag):\n",
" # Perform inference\n",
" preds, _ = learner.get_preds(ds_idx=dl.split_idx)\n",
" preds = preds.numpy()\n",
"\n",
" # Save predictions to FiftyOne dataset\n",
" with fo.ProgressBar() as pb:\n",
" for filepath, scores in zip(pb(dl.items), preds):\n",
" sample = dataset[str(filepath)]\n",
" target = np.argmax(scores)\n",
" sample.tags = [tag]\n",
" sample[\"predictions\"] = fo.Classification(\n",
" label=classes[target],\n",
" confidence=scores[target],\n",
" logits=np.log(scores),\n",
" )\n",
" sample.save()\n",
"\n",
"classes = list(data.vocab)\n",
"\n",
"# Run inference on train split\n",
"do_inference(learner, data.train, dataset, classes, \"train\")\n",
"\n",
"# Run inference on validation split\n",
"do_inference(learner, data.valid, dataset, classes, \"validation\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "7l_NA5_7ycFk"
},
"source": [
"The predictions are stored in a `predictions` field of our dataset:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 233,
"status": "ok",
"timestamp": 1612376232577,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "zlDKw9qVEe4R",
"outputId": "2dd6e8d8-ed02-4b8d-a863-f128a79f3315"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Name: malaria-cell-images\n",
"Media type: image\n",
"Num samples: 27558\n",
"Persistent: True\n",
"Info: {'classes': ['Parasitized', 'Uninfected']}\n",
"Tags: ['train', 'validation']\n",
"Sample fields:\n",
" filepath: fiftyone.core.fields.StringField\n",
" tags: fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)\n",
" metadata: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.Metadata)\n",
" ground_truth: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Classification)\n",
" uniqueness: fiftyone.core.fields.FloatField\n",
" predictions: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Classification)\n"
]
}
],
"source": [
"print(dataset)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5VzuuusEyfiF"
},
"source": [
"We've added predictions for both the `train` split:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 256,
"status": "ok",
"timestamp": 1612376248264,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "EEcjdwykHPTM",
"outputId": "d00a71a9-0416-411f-d6f8-fe2c23282391"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
",\n",
" 'uniqueness': 0.43538014682836707,\n",
" 'predictions': ,\n",
"}>\n"
]
}
],
"source": [
"print(dataset.match_tags(\"train\").first())"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WMnJx4Huyk8Q"
},
"source": [
"and the `validation` split:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 288,
"status": "ok",
"timestamp": 1612376254301,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "s71GwVjVEhe_",
"outputId": "47660fa7-92c2-4960-cc8c-af0b74b7de0d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
",\n",
" 'uniqueness': 0.31238555314371125,\n",
" 'predictions': ,\n",
"}>\n"
]
}
],
"source": [
"print(dataset.match_tags(\"validation\").first())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Running the evaluation\n",
"\n",
"FiftyOne provides a powerful [evaluation API](https://voxel51.com/docs/fiftyone/user_guide/evaluation.html) for evaluating various types of models at the aggregate and sample-level.\n",
"\n",
"In this case, we'll use the [binary classification functionality](https://voxel51.com/docs/fiftyone/user_guide/evaluation.html#binary-evaluation) to analyze our model:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 85161,
"status": "ok",
"timestamp": 1612379513557,
"user": {
"displayName": "Brian Moore",
"photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjTqODKAkDmvfsMo0GDgqHOiMk5Dvk772GPdYuW=s64",
"userId": "06264691545006004774"
},
"user_tz": 300
},
"id": "6LMipuU9QHUo",
"outputId": "9d19b864-dfbd-4590-90e0-a3b0546b5364"
},
"outputs": [],
"source": [
"# Evaluate the predictions in the `predictions` field with respect to the\n",
"# labels in the `ground_truth` field\n",
"results = dataset.evaluate_classifications(\n",
" \"predictions\",\n",
" gt_field=\"ground_truth\",\n",
" eval_key=\"eval\",\n",
" method=\"binary\",\n",
" classes=[\"Uninfected\", \"Parasitized\"],\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The method returned a `results` object that provides a number of convenient methods for analyzing our predictions.\n",
"\n",
"### Viewing aggregate metrics\n",
"\n",
"Let's start by printing a classification report:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" precision recall f1-score support\n",
"\n",
" Uninfected 0.95 0.98 0.96 13779\n",
" Parasitized 0.98 0.95 0.96 13779\n",
"\n",
" accuracy 0.96 27558\n",
" macro avg 0.96 0.96 0.96 27558\n",
"weighted avg 0.96 0.96 0.96 27558\n",
"\n"
]
}
],
"source": [
"results.print_report()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, how about a confusion matrix:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FigureWidget({\n",
" 'data': [{'mode': 'markers',\n",
" 'opacity': 0.1,\n",
" 'type': 'scatter',…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot = results.plot_confusion_matrix()\n",
"plot.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"plot.freeze() # replaces interactive plot with static image"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"and finally a precision-recall curve:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"FigureWidget({\n",
" 'data': [{'hovertemplate': 'x=%{x} y=%{y}',\n",
" 'legendgroup': …"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot = results.plot_pr_curve()\n",
"plot.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"plot.freeze() # replaces interactive plot with static image"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The evaluation method also populated a new `eval` field on our samples that records whether each prediction is a true positive (TP), false positive (FP), false negative (FN), or true negative (TN).\n",
"\n",
"In a few minutes, we'll use this field to interactively explore each type of prediction visually in the App. But for now, let's check the distribution of these labels:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'FN': 708, 'FP': 334, 'TN': 13445, 'TP': 13071}\n"
]
}
],
"source": [
"print(dataset.count_values(\"eval\"))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "W-HRB6KzyoDL"
},
"source": [
"### Visualizing the most unique predictions\n",
"\n",
"Now that we have a sense for the aggregate performance of our model, let's dive into sample-level analysis by loading a [dataset view](https://voxel51.com/docs/fiftyone/user_guide/using_views.html) in the App that shows the correctly predicted samples from the validation split, sorted in descending order by the visual uniqueness that we previously computed and stored in the `uniqueness` field of the dataset:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 821,
"resources": {
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"source": [
"# Show most unique CORRECT predictions on validation split\n",
"session.view = (\n",
" dataset\n",
" .match_tags(\"validation\")\n",
" .match(F(\"predictions.label\") == F(\"ground_truth.label\"))\n",
" .sort_by(\"uniqueness\", reverse=True)\n",
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"source": [
"Now, things get more interesting when we update our view to show the most visually unique **INCORRECT** predictions from the validation split.\n",
"\n",
"Note that some of these ground truth labels look questionable; it seems that some of our our ground truth annotations may need to be updated. We'll investigate this more later."
]
},
{
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"# Show most unique INCORRECT predictions on validation split\n",
"session.view = (\n",
" dataset\n",
" .match_tags(\"validation\")\n",
" .match(F(\"predictions.label\") != F(\"ground_truth.label\"))\n",
" .sort_by(\"uniqueness\", reverse=True)\n",
")"
]
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{
"cell_type": "markdown",
"metadata": {
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"source": [
"### Compute sample hardness with FiftyOne\n",
"\n",
"During training, it is useful to identify samples that are more difficult for a model to learn so that training can be more focused around these hard samples.\n",
"\n",
"Let's use FiftyOne's [hardness method](https://voxel51.com/docs/fiftyone/user_guide/brain.html#sample-hardness) to index our dataset by the hardness of our predictions in the `predictions` field.\n",
"\n",
"This method populates a scalar `hardness` field on each of our samples."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
"elapsed": 73110,
"status": "ok",
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"outputId": "5b71a231-f8ed-49c1-aebf-24f327298eac"
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Computing hardness...\n",
" 100% |███| 27558/27558 [1.2m elapsed, 0s remaining, 374.5 samples/s] \n",
"Hardness computation complete\n"
]
}
],
"source": [
"import fiftyone.brain as fob\n",
"\n",
"fob.compute_hardness(dataset, \"predictions\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "7Bx_64qs0W1o"
},
"source": [
"Now let's use our hardness measure to view the **HARDEST FALSE POSITIVE** samples in the validation split of our dataset.\n",
"\n",
"These are the failure modes of our current model, and this is where we need to dedicate our human time to understand what's going on.\n",
"\n",
"Here are some important questions to ask yourself:\n",
"\n",
"- *Are any of the ground truth annotations on these samples incorrect?* If so, then correcting them will make the biggest positive impact on the ability of our model to separate these two classes\n",
"- *Are these predictions actually false positives?* If so, then adding more examples that are visually similar to these to your training dataset will also improve your model"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
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"source": [
"# Show the HARDEST FALSE POSITIVES on validation split\n",
"session.view = (\n",
" dataset\n",
" .match_tags(\"validation\")\n",
" .match(F(\"eval\") == \"FP\")\n",
" .sort_by(\"hardness\", reverse=True)\n",
")"
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{
"cell_type": "markdown",
"metadata": {
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"source": [
"Viewing the **HARDEST FALSE NEGATIVE** samples from the validation split also gives insights into what fools our model into wrongly believing that a sample is uninfected.\n",
"\n",
"Or, are the ground truth annotations incorrect? The same questions from the previous section apply. Finding mistakes in your ground truth data is equally as important as identifying the true failure modes of your model."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
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"source": [
"# Show the HARDEST FALSE NEGATIVES on validation split\n",
"session.view = (\n",
" dataset\n",
" .match_tags(\"validation\")\n",
" .match(F(\"eval\") == \"FN\")\n",
" .sort_by(\"hardness\", reverse=True)\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "plDQY6njtWwL"
},
"source": [
"### Finding ground truth mistakes using FiftyOne\n",
"\n",
"Even well-known datasets can have [significant ground truth mistakes](https://towardsdatascience.com/i-performed-error-analysis-on-open-images-and-now-i-have-trust-issues-89080e03ba09).\n",
"\n",
"Fortunately, FiftyOne provides a [mistakenness method](https://voxel51.com/docs/fiftyone/user_guide/brain.html#label-mistakes) that can automatically identify the potential ground truth mistakes in your dataset.\n",
"\n",
"The cell below runs the mistakenness method using the predictions in the `predictions` field of the dataset as a point of reference to find the most likely mistakes in the `ground_truth` annotations: "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"executionInfo": {
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"status": "ok",
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"user": {
"displayName": "Brian Moore",
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"userId": "06264691545006004774"
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"id": "OJsQbLXuR9rh",
"outputId": "bef6ae19-8ae7-4d2d-ad8d-2c374205d903"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Computing mistakenness...\n",
" 100% |███| 27558/27558 [1.3m elapsed, 0s remaining, 341.9 samples/s] \n",
"Mistakenness computation complete\n"
]
}
],
"source": [
"import fiftyone.brain as fob\n",
"\n",
"fob.compute_mistakenness(dataset, \"predictions\", label_field=\"ground_truth\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "e8AdYQpQ7MNs"
},
"source": [
"We can easily update our view in the App to show, for example, the most likely annotation mistakes in the `train` split of our dataset. In the cell below, we have only selected the `eval` field in the App so that we see the samples together with their TP/FP/FN/TN evaluation labels.\n",
"\n",
"I'm not a medical imaging expert, but to my untrained eye, the examples below suggest two concrete opportunities for improvement to our training dataset:\n",
"\n",
"- Many of the false negatives below seem to be *true negatives*. These ground truth annotations likely need another annotation pass to correct for errors\n",
"- Many of the remaining false negatives seem to be cases where the infection is near the **boundary** of the cell images. Augmenting the training dataset with more `Parasitized` examples of this kind would likely improve the performance of our model!"
]
},
{
"cell_type": "code",
"execution_count": 18,
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