Image-to-Text
ultralytics
PyTorch
PaddlePaddle
English
ocr
yolo
computer-vision
image-classification
object-detection
indian-id
document-processing
Eval Results (legacy)
Instructions to use logasanjeev/indian-id-validator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use logasanjeev/indian-id-validator with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("logasanjeev/indian-id-validator") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "models": { | |
| "Id_Classifier": { | |
| "type": "classification", | |
| "path": "models/Id_Classifier.pt", | |
| "classes": [ | |
| "aadhar_back", | |
| "aadhar_front", | |
| "driving_license_back", | |
| "driving_license_front", | |
| "pan_card_front", | |
| "passport", | |
| "voter_id" | |
| ] | |
| }, | |
| "Aadhaar": { | |
| "type": "detection", | |
| "path": "models/Aadhaar_Card.pt", | |
| "classes": [ | |
| "Aadhaar", | |
| "DOB", | |
| "Gender", | |
| "Name", | |
| "Address" | |
| ] | |
| }, | |
| "Pan_Card": { | |
| "type": "detection", | |
| "path": "models/Pan_Card.pt", | |
| "classes": [ | |
| "PAN", | |
| "Name", | |
| "Father's Name", | |
| "DOB", | |
| "Pan Card" | |
| ] | |
| }, | |
| "Passport": { | |
| "type": "detection", | |
| "path": "models/Passport.pt", | |
| "classes": [ | |
| "Address", | |
| "Code", | |
| "DOB", | |
| "DOI", | |
| "EXP", | |
| "Gender", | |
| "MRZ2", | |
| "MRZ1", | |
| "MRZ2", | |
| "Name", | |
| "Nationality", | |
| "Nation", | |
| "POI" | |
| ] | |
| }, | |
| "Voter_Id": { | |
| "type": "detection", | |
| "path": "models/Voter_Id.pt", | |
| "classes": [ | |
| "Address", | |
| "Age", | |
| "DOB", | |
| "Card Voter ID 1 Back", | |
| "Card Voter ID 2 Front", | |
| "Card Voter ID 2 Back", | |
| "Card Voter ID 1 Front", | |
| "DOB", | |
| "Date of Issue", | |
| "Election", | |
| "Father", | |
| "Gender", | |
| "Name", | |
| "Point", | |
| "Portrait", | |
| "Symbol", | |
| "Voter ID", | |
| "Portrait", | |
| "Card Voter ID 1 Back" | |
| ] | |
| }, | |
| "Driving_License": { | |
| "type": "detection", | |
| "path": "models/Driving_License.pt", | |
| "classes": [ | |
| "Address", | |
| "Blood Group", | |
| "DL No", | |
| "DOB", | |
| "Name", | |
| "Relation With", | |
| "RTO", | |
| "State", | |
| "Vehicle Type" | |
| ] | |
| } | |
| }, | |
| "doc_type_to_model": { | |
| "aadhar_front": "Aadhaar", | |
| "aadhar_back": "Aadhaar", | |
| "pan_card_front": "Pan_Card", | |
| "passport": "Passport", | |
| "voter_id": "Voter_Id", | |
| "driving_license_front": "Driving_License", | |
| "driving_license_back": "Driving_License" | |
| } | |
| } |