Upload plateRecognition/paddleocr/onnx/config.json with huggingface_hub

plateRecognition/paddleocr/onnx/config.json

@@ -0,0 +1,60 @@
+{
+  "model_name": "latin_PP-OCRv5_mobile_rec",
+  "model_type": "recognition",
+  "framework": "PaddleOCR",
+  "version": "PP-OCRv5",
+  "language_group": "latin",
+  "supported_languages": [
+    "English",
+    "French",
+    "German",
+    "Afrikaans",
+    "Italian",
+    "Spanish",
+    "Bosnian",
+    "Portuguese",
+    "Czech",
+    "Welsh",
+    "Danish",
+    "Estonian",
+    "Irish",
+    "Croatian",
+    "Uzbek",
+    "Hungarian",
+    "Serbian (Latin)",
+    "Indonesian",
+    "Occitan",
+    "Icelandic",
+    "Lithuanian",
+    "Maori",
+    "Malay",
+    "Dutch",
+    "Norwegian",
+    "Polish",
+    "Slovak",
+    "Slovenian",
+    "Albanian",
+    "Swedish",
+    "Swahili",
+    "Tagalog",
+    "Turkish",
+    "Latin"
+  ],
+  "description": "PP-OCRv5 Latin script text recognition model (32 languages)",
+  "accuracy": 84.7,
+  "dataset": "3,111 Latin script images",
+  "original_format": "PaddlePaddle",
+  "converted_format": "ONNX",
+  "opset_version": 11,
+  "dictionary_file": "ppocrv5_latin_dict.txt",
+  "input_shape": "dynamic (batch_size, 3, 32, dynamic_width)",
+  "output_shape": "dynamic (batch_size, sequence_length, num_classes)",
+  "source": "https://github.com/PaddlePaddle/PaddleOCR",
+  "documentation": "https://www.paddleocr.ai/main/en/version3.x/algorithm/PP-OCRv5/PP-OCRv5_multi_languages.html",
+  "usage": {
+    "library": "onnxruntime",
+    "preprocessing": "Grayscale or RGB image, resized to height=32, normalized",
+    "postprocessing": "CTC decoding with character dictionary",
+    "dictionary_format": "One character per line, UTF-8 encoding"
+  }
+}