Add finetuned PP-OCRv5 rec (number/symbol-augmented, balanced fp32): general 0.935, numbers 93.1% (base 71%), cents 13->98%

Add CoreML mlpackage for PP-OCRv5 server rec (fp32, GPU-accelerated; ~15x faster than ONNX-CPU, output-identical)

Update text_detector.onnx: OBB model with max_det=1000 (removes 300-detection cap)

OCR post-process dictionary: EN+ES+domain (1.01M words)

ppocr_rec_v5_server: epoch-20 final (val acc 0.959, norm_edit 0.994)

Replace text_detector with yolo26 OBB (end2end, 1536)

Upload ppocr_rec_v5_server/ppocrv5_dict.txt with huggingface_hub

Upload ppocr_rec_v5_server/model.onnx with huggingface_hub

Upload ppocr_v5/ppocr_fisher.onnx

Delete ppocr_rec

Upload 3 files

Delete birefnet_lite_exact_fp16_512.mlpackage

Upload 3 files

Upload 3 files

Upload BiRefNet_lite-general-2K-epoch_232.onnx

Delete BiRefNet_HR_1024.onnx.data

Delete BiRefNet_HR_1024.onnx

Upload BiRefNet_HR_1024.onnx.data

Upload BiRefNet_HR_1024.onnx

Upload item_detector.onnx

Upload ppocr_rec/model_simplified.onnx

Upload 8 files

Upload 16 files

Delete final_model

Delete roberta_description

Delete roberta_catergory

Upload 4 files

Upload 7 files

Upload item_detector.onnx

Upload item_detector.onnx

Upload item_detector_medium.onnx

Upload item_detector.onnx

Upload item_detector.onnx

s3 model

Upload 2 files

models with weights embedded

Upload 2 files

Upload item_detector.onnx

Upload item_detector.onnx

dynamic model

Upload text_detector.onnx

Upload text_detector.onnx

Upload text_detector.onnx

Updated item detector (4k samples) + yolov12

Upload text_detector.onnx

Upload item_detector.onnx

initial commit