TrOCR
Transformer based model for state‑of‑the‑art optical character recognition (OCR) on both printed and handwritten text.
End‑to‑end text recognition approach with pre‑trained image transformer and text transformer models for both image understanding and wordpiece‑level text generation.
Technical Details
Model checkpoint:trocr-small-stage1
Input resolution:320x320
Number of parameters (TrOCREncoder):23.0M
Model size (TrOCREncoder):87.8 MB
Number of parameters (TrOCRDecoder):38.3M
Model size (TrOCRDecoder):146 MB
Applicable Scenarios
- Publishing
- Healthcare
- Document Management
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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