jacobmarks / pytesseract-ocr-pluginLinks
Run optical character recognition with PyTesseract from the FiftyOne App!
☆11Updated last year
Alternatives and similar repositories for pytesseract-ocr-plugin
Users that are interested in pytesseract-ocr-plugin are comparing it to the libraries listed below
Sorting:
- Perform visual question answering on your images☆17Updated last year
- Albumentations Data Augmentation Plugin for FiftyOne!☆13Updated 9 months ago
- Run zero-shot prediction models on your data☆32Updated 5 months ago
- Remove exact and approximate duplicates from your dataset in FiftyOne!☆18Updated last year
- My journey during 10 weeks of building FiftyOne plugins☆21Updated last year
- Testbed for multimodal retrieval augmented generation techniques with FiftyOne, LlamaIndex, and Milvus☆18Updated 9 months ago
- FiftyOne Plugin for finding common image quality issues☆32Updated 7 months ago
- Convert datasets from Hugging Face to FiftyOne for Visualization☆11Updated last year
- ☆14Updated last year
- ☆70Updated 2 months ago
- ☆27Updated last year
- Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.☆70Updated this week
- A FiftyOne Plugin that allows you to search across any modality in your videos!☆21Updated last week
- A curated list of papers that released datasets along with their work☆125Updated 7 months ago
- Passively collect images for computer vision datasets on the edge.☆33Updated last year
- Automatic Thief Detection via CCTV with Alarm System and Perpetrator Image Capture using YOLOv5 + ROI. This project utilizes computer vis…☆9Updated 7 months ago
- ☆20Updated last year
- ☆26Updated 2 years ago
- A template repo holding our common setup for a python project☆104Updated 2 years ago
- auto_labeler - An all-in-one library to automatically label vision data☆15Updated 4 months ago
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆127Updated this week
- Our idea is to combine the power of computer vision model and LLMs. We use YOLO, CLIP and DINOv2 to extract high-level features from imag…☆115Updated 2 years ago
- ☆14Updated 3 years ago
- The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained mode…☆12Updated 10 months ago
- EdgeSAM model for use with Autodistill.☆26Updated 11 months ago
- Streamlit App for Blood Cell Count Dataset☆18Updated 2 years ago
- Flask-based web application designed to compare text and image embeddings using the CLIP model.☆22Updated last year
- ☆13Updated 2 years ago
- ☆58Updated last year
- Vehicle speed estimation using YOLOv8☆30Updated last year