| Model Type | Text Detection & Recognition |
|---|---|
| Framework | LiteRT (TensorFlow Lite) |
| Algorithm | EAST+ CRNN |
| Technical Details | This variant uses a lightweight text detector and recognizer pipeline to identify and transcribe text from images. Optimized for low-latency on resource-constrained hardware. Returns a structured JSON output with text strings, bounding boxes, and optional confidence values. Ideal for embedded applications where performance per watt is key. |
Scene Text Detection – Light Model
Lightweight OCR application that detects and reads text in images using a faster, lower-resource model designed for embedded and edge devices.
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Scene Text Detection – Light Model
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Scene Text Detection – High Accuracy
High-precision OCR application that detects and transcribes text from real-world images with superior accuracy, ideal for industrial and logistics use cases.
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Image Classification
Efficient CNN model for image classification on mobile and embedded edge devices.
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