**Company Description**
An enterprise client is seeking qualified professionals with educational backgrounds in agriculture or related fields to support a project focused on crop type classification from satellite imagery. This role involves analyzing visual data and labeling agricultural fields to help build a high-quality dataset for improving crop classification models.
Selected talents will classify crop types from satellite images using street-view field images as ground truth references. You will determine crop types or mark areas as uncultivated based on visual information, following clearly defined workflow protocols provided by the client.
**Sample Workflow**:
- ** Agricultural Area Presence**: Identify if agricultural fields occupy more than a specified percentage (e.g., 40%) of the image.
- ** Field Visibility Assessment**: Check if the field is occluded or visible.
- ** Partial Visibility**: Annotate crop type or mark as uncultivated if identifiable.
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