Student Assistant for Grévy’s Zebra Dataset

vor 3 Wochen

Stuttgart, Deutschland Max-Planck-Institut für Intelligente Systeme Vollzeit

**Student assistant for Grévy’s Zebra Dataset project (f/m/d)**:
The Optics and Sensing Laboratory at the Max Planck Institute for Intelligent Systems in Tübingen have an open position for a student assistant (HiWi) to join the ongoing research efforts in creating a large-scale Grévy’s Zebra dataset. This will facilitate the development of novel computer vision and control methods for visual tracking and behavior estimation of Grévy’s zebras.

**About us**:
We are creating highly realistic human and animal avatars for use in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, and computer vision methods, we are modeling how humans and animals look and move. We develop algorithms to estimate human and animal shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art, and we are constantly pushing these methods and systems in order to achieve better accuracy.

**About the Project**:
Grévy’s zebras are one of the inhabitants of the African Savanna that have, unfortunately, suffered rapid loss in their population. In this project, we are bringing robotics, computer vision and machine learning methods together to try to uncover the exact reasons behind their population drop. Such insights will help to develop strategies to prevent their population shrinkage further.

In Kenya and at the local Zoos in Germany, we have collected a large amount of data (video, images, depth images) using multiple sensors, such as various consumer-electronics cameras, machine vision multi-camera setup, and 3D laser scans. Combining all this data into one large-scale dataset is the essential next step required for development of novel computer vision methods for zebra pose and shape estimation.

a. Stallion at Mpala, Kenya b. Data capture vehicle with long-base stereo cameras, c. Grévy’s at Stuttgart Zoo, d. 3D scan of a cliff in Mpala

**Your tasks***:

- Support the development of the dataset organizing images, multi-camera videos, and 3D scans of the environment.
- Support the development of semi-automatic data-labeling processes.
- Prepare a dataset documentation and code snippets on how to use the data.
- Utilize our custom dataset to fine-tune existing deep learning models for improved animal detection and keypoint estimation

**Skills Required**:

- Strong academic performance in relevant bachelor and master courses.
- Some previous knowledge in computer vision and deep learning is a huge plus.
- Good programming skills in Python or C++; PyTorch experience is a plus.
- Experience in one or more of the following: dataset preparation, OpenCV, 3D rendering pipelines and deep-learning frameworks
- Good oral and written communication skills in English.
- Currently enrolled at a German university

**What we offer**:

- 2-page Curriculum Vitae
- References letters (or names of referees)
- GitHub (or similar platform) project links showing your programming skills and/or 3D rendering projects.
- One-page response to the following.- Briefly describe the need for large-scale datasets to tackle computer vision problems, including what are the main parts of such datasets.
- Briefly describe what is data augmentation.
- Tell us about your experience with computer vision datasets and/or 3D rendering software and libraries.

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