Detecting Text Presence in Images: Best Architectures for Binary Classification
Relative-Pace-2923 · reddit · 2026-08-01
The poster is looking for the best architectural approach to quickly perform binary classification to detect whether text exists in an image. They note a lack of dedicated research due to the task's apparent simplicity.
Key architectural thoughts and questions include:
- Considering Feature Pyramid Networks (FPN) for scale tolerance, despite few classification papers using them.
- Planning to use a pretrained PaddleOCR detection backbone.
- Discussing the feasibility of grid-based approaches or global max pooling to a linear layer, especially when only image-level yes/no labels are available without bounding boxes.
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