Labeled RGB images across two binary classes for the 'nyx' project. The data includes high-resolution PIL images with dimensions such as 1890x2372 and 800x1116 mapped to a 'target' field.
Use Cases
- Train a binary image classifier using the `image` and `target` columns.
- Test image resizing and normalization layers on high-resolution RGB inputs.
- Implement a transfer learning workflow using the pre-labeled `target` field.
Strengths
- Includes RGB PIL images with specific dimensions like 800x1116 and 1890x2372.
- Provides a `target` column containing integer labels 0 and 1.
- Formatted as a standard AutoTrain dataset for the 'nyx' project.