Update README.md
Browse files
README.md
CHANGED
|
@@ -11,6 +11,9 @@ This repo contains the model and the notebook [to this Keras example on Multicla
|
|
| 11 |
|
| 12 |
Full credits to: [Soumik Rakshit](http://github.com/soumik12345)
|
| 13 |
|
|
|
|
|
|
|
|
|
|
| 14 |
## Background Information
|
| 15 |
Semantic segmentation, with the goal to assign semantic labels to every pixel in an image, is an essential computer vision task. In this example, we implement the DeepLabV3+ model for multi-class semantic segmentation, a fully-convolutional architecture that performs well on semantic segmentation benchmarks.
|
| 16 |
|
|
|
|
| 11 |
|
| 12 |
Full credits to: [Soumik Rakshit](http://github.com/soumik12345)
|
| 13 |
|
| 14 |
+
The model is trained for demonstrative purposes and does not guarantee the best results in production.
|
| 15 |
+
For better results, follow & optimize the [Keras example]((https://keras.io/examples/vision/deeplabv3_plus/) as per your need.
|
| 16 |
+
|
| 17 |
## Background Information
|
| 18 |
Semantic segmentation, with the goal to assign semantic labels to every pixel in an image, is an essential computer vision task. In this example, we implement the DeepLabV3+ model for multi-class semantic segmentation, a fully-convolutional architecture that performs well on semantic segmentation benchmarks.
|
| 19 |
|