dataget.image.udacity_simulator¶
Downloads the Udacity Simulator dataset and loads it as pandas dataframes. Images are not loaded into memory but the center, left, and right column contain the relative path to their files.
import dataget df = dataget.image.udacity_simulator().get()
Do not use random shuffling to spit the data as similar images from the training set will appear on the test set.
Sample¶
Format¶
| type | shape | |
|---|---|---|
| df | pd.DataFrame | (8036, 7) |
Features¶
| column | type | description |
|---|---|---|
| center | str | relative path of the center camera jpg image |
| left | str | relative path of the left camera jpg image |
| right | str | relative path of the right camera jpg image |
| steering | float64 | stearing angle |
| throttle | float64 | throttle magnitude |
| brake | float64 | break mangnitude |
| speed | float64 | speed mangnitude |
Info¶
- Folder name:
image_udacity_simulator - Size on disk:
465MB