173 - Intersection over Union (IoU) for semantic segmentation

Code generated in the video can be downloaded from here:

The dataset used in this video can be downloaded from the link below. This dataset can be used to train and test machine learning algorithms designed for multiclass semantic segmentation. Please read the Readme document for more information.

[samarafroz]

Best tutorial sir. I just love your efforts. You're such a great personality.

[deeplearningexplained]

Love the energy, really sharp Sreeni.

[AhmedEmamAI]

Great video, thanks for the effort and the high quality material

[mrityunjaykumar]

i like your videos for crisp and clear delivery

[sergiomorellmonzo]

I think it is important to highlight that Keras is calculating the IoU macro-average. That is, the average IoU of all classes. You can also use the micro-average IoU, which is the sum of the intersections of each class divided by the sum of the unions of all classes. The choice of micro or macro should be made according to the imbalance of the dataset.

[gabrielamarante]

Salvou meu mestrado paizão, valeu demais!

[nying]

your very excellent professor. I love your lecture

[hakunamatata-quft]

Good work Srini
Thanks for teaching new concepts

[العالممنحولك-صس]

Thank you very much and these are very valuable information. Thank you so much...

[kenanmorani]

For IOU_keras.results(), how did we really calculate the mean of the IOU values?

[rs]

IOU_keras.update_state(val_y, y_pred_val)
does this work for batch inputs. I tried, but gives only first 2 class pixel count in the confusion matrix variable

[youness]

I'm realizing a semantic segmentation task, and I want to compute the mIoU over a dataset. My doubt is, should I compute the mIoU of each image and average the results in the end, or should I build a giant confusion matrix of all image results and compute the mIoU from there?

[kartikeyasingh]

Sir, I have a pair of ground truth and predicted images, but I don't have the model. is it possible to use just the images to find miou?

[nguyenhai]

Thanks for the useful video, but I have confusion when implement MeanIOU into my Unet Semantic Segmentation ( not multiple class). Can you help me, please ?

[masterharryharshkumarsharm]

HEY can you share code for finding jaccard coefficient for multi class semantic segmentation Unet please

[muhammadtanveer]

Anyone please tell me how can we ignore background class in IOU calculation. Thanks

[rs]

Hello can you please make video on segmentation evaluation metrics like precision recall and ap, map. Thank you

[liaowenxi]

Thanks for the great video! I am just wondering how do you produce the ground truth images? Thank you.

[gomathig]

These codes will work in colab or not sir please reply sir

[muhammadtanveer]

Nice tutorial. I just find 1 mistake in the class2_IOU calculations. In the false positive you have added values[2, 1] twice and skip the values[2, 4]. Correct me if I am wrong.