Update README.md

Author: Kamil A. Kaczmarek

README.md

@@ -10,7 +10,11 @@ We are building entirely open solution to this competition. Specifically:
 1. **Learning from the process** - updates about new ideas, code and experiments is the best way to learn data science. Our activity is especially useful for people who wants to enter the competition, but lack appropriate experience.
 1. Encourage more Kagglers to start working on this competition.
 1. Deliver open source solution with no strings attached. Code is available on our [GitHub repository :computer:](https://github.com/neptune-ml/open-solution-googleai-object-detection). This solution should establish solid benchmark, as well as provide good base for your custom ideas and experiments. We care about clean code :smiley:
-1. We are opening our experiments as well: everybody can have **live preview** on our experiments, parameters, code, etc. Check: [Google-AI-Object-Detection-Challenge :chart_with_upwards_trend:](https://app.neptune.ml/neptune-ml/Google-AI-Object-Detection-Challenge).
+1. We are opening our experiments as well: everybody can have **live preview** on our experiments, parameters, code, etc. Check: [Google-AI-Object-Detection-Challenge :chart_with_upwards_trend:](https://app.neptune.ml/neptune-ml/Google-AI-Object-Detection-Challenge) and images below:
+
+| UNet training monitor :bar_chart: | Predicted bounding boxes :bar_chart: |
+|:---|:---|
+|[![unet-training-monitor](https://gist.githubusercontent.com/kamil-kaczmarek/b3b939797fb39752c45fdadfedba3ed9/raw/19272701575bca235473adaabb7b7c54b2416a54/gai-1.png)](https://app.neptune.ml/-/dashboard/experiment/f945da64-6dd3-459b-94c5-58bc6a83f590)|[![predicted-bounding-boxes](https://gist.githubusercontent.com/kamil-kaczmarek/b3b939797fb39752c45fdadfedba3ed9/raw/19272701575bca235473adaabb7b7c54b2416a54/gai-2.png)](https://app.neptune.ml/-/dashboard/experiment/c779468e-d3f7-44b8-a3a4-43a012315708)|
 
 ## Dataset for this competition
 This competition is special, because it used [Open Images Dataset V4](https://storage.googleapis.com/openimages/web/index.html), which is quite large: `>1.8M` images and `>0.5TB` :astonished: To make it more approachable, we are hosting entire dataset in the neptune's public directory :sunglasses:. **You can use this dataset in [neptune.ml](https://neptune.ml) with no additional setup :+1:.**
@@ -23,36 +27,17 @@ In this open source solution you will find references to the [neptune.ml](https:
 
 ## Installation
 ### Fast Track
-1. Clone repository and install requirements (check _requirements.txt_)
-1. Register to the [neptune.ml](https://neptune.ml/login) _(if you wish to use it)_
-1. Run experiment:
+1. Clone repository, install `tensorflow 1.6`, `PyTorch 0.3.1` and then remaining requirements (check _requirements.txt_)
 
-:trident:
 ```bash
-neptune run will appear here soon :)
+pip3 install -r requirements.txt
 ```
 
-:snake:
-```bash
-python command will appear here soon :)
-```
-
-### Step by step
-1. Clone this repository
-```bash
-git clone https://github.com/neptune-ml/open-solution-googleai-object-detection.git
-```
-2. Install requirements in your Python3 environment
-```bash
-pip3 install requirements.txt
-```
-3. Register to the [neptune.ml](https://neptune.ml/login) _(if you wish to use it)_
-4. Update data directories in the [neptune.yaml](https://github.com/neptune-ml/open-solution-googleai-object-detection/blob/master/neptune.yaml) configuration file
-5. Run experiment:
+2. Register to the [neptune.ml](https://neptune.ml/login) _(if you wish to use it)_
+3. Run experiment:
 
 :trident:
 ```bash
-neptune login
 neptune run will appear here soon :)
 ```
 
@@ -61,8 +46,6 @@ neptune run will appear here soon :)
 python command will appear here soon :)
 ```
 
-6. collect submit from `experiment_directory` specified in the [neptune.yaml](https://github.com/neptune-ml/open-solution-googleai-object-detection/blob/master/neptune.yaml)
-
 ## Get involved
 You are welcome to contribute your code and ideas to this open solution. To get started:
 1. Check [competition project](https://github.com/neptune-ml/open-solution-googleai-object-detection/projects/1) on GitHub to see what we are working on right now.