Geological Dataset Annotation for ML
Budget: $25 – $50 AUD
I need help annotating and organizing geological core sample datasets for a machine learning application. The core samples are currently in a database format and include attributes like mineral composition, depth information, and geological age. The primary goal of the ML application is to classify geological layers.
Key Tasks:
- Annotate existing geological data accurately.
- Organize data in a machine learning-friendly format.
- Ensure high-quality, error-free datasets.
Ideal Skills & Experience:
- Experience with database management.
- Knowledge of geological data and attributes.
- Familiarity with machine learning data preparation.
- Attention to detail and accuracy.
Looking for a freelancer who can deliver high-quality work efficiently.
Key Tasks:
- Annotate existing geological data accurately.
- Organize data in a machine learning-friendly format.
- Ensure high-quality, error-free datasets.
Ideal Skills & Experience:
- Experience with database management.
- Knowledge of geological data and attributes.
- Familiarity with machine learning data preparation.
- Attention to detail and accuracy.
Looking for a freelancer who can deliver high-quality work efficiently.