---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: left
    dtype: int64
  - name: forward
    dtype: int64
  - name: right
    dtype: int64
  splits:
  - name: train
    num_bytes: 1245310731.916
    num_examples: 27754
  download_size: 1242463614
  dataset_size: 1245310731.916
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
size_categories:
- 10K<n<100K
---
# Image Dataset of Cyberzoo at Delft University of Technology

This dataset includes images taken in the Cyberzoo in the aircraft hall of the Delft University of Technology.

## Dataset Details

### Dataset Description

This dataset was collected throughout multiple testing sessions at the Cyberzoo, both while actually flying and handheld. The labeling of the data has been performed using monocular depth maps, generated using [Depth-Anything](https://github.com/LiheYoung/Depth-Anything). The exact labeling process has been explained in [this](https://github.com/Timdnb/CNN-for-Micro-Air-Vehicles/blob/main/Dataset_generation.ipynb) notebook. Note: this dataset includes a **mirrored version** for each image already!

- **Curated by:** [Tim den Blanken]

## Uses

This dataset can be used to train Convolutional Neural Networks for obstacle avoidance of Micro Air Vehicles in the Cyberzoo of Delft University of Technology. For the entire training pipeline, please go this [this](https://github.com/Timdnb/CNN-for-Micro-Air-Vehicles) repository.

## Dataset Structure

The dataset consists of a single folder containing all images. Each image has features listed in the metadata, which are "Left", "Forward" and "Right".