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:
- Run zero-shot prediction models on your data☆32Updated 6 months ago
- Albumentations Data Augmentation Plugin for FiftyOne!☆13Updated 10 months ago
- My journey during 10 weeks of building FiftyOne plugins☆21Updated last year
- FiftyOne Plugin for finding common image quality issues☆32Updated 8 months ago
- Perform visual question answering on your images☆17Updated last year
- Convert datasets from Hugging Face to FiftyOne for Visualization☆11Updated last year
- Remove exact and approximate duplicates from your dataset in FiftyOne!☆18Updated last year
- Passively collect images for computer vision datasets on the edge.☆33Updated last year
- ☆14Updated last year
- ☆27Updated last year
- Testbed for multimodal retrieval augmented generation techniques with FiftyOne, LlamaIndex, and Milvus☆19Updated 10 months ago
- This Repository demostrates various examples using YOLO☆13Updated 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.☆72Updated last week
- Production-ready YOLO8 Segmentation deployment with TensorRT and ONNX support for CPU/GPU, including AI model integration guidance for Un…☆45Updated last year
- ☆14Updated 11 months ago
- ☆14Updated 3 years ago
- ☆73Updated 3 months 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
- A component that allows you to annotate an image with points and boxes.☆21Updated last year
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆36Updated last year
- ☆60Updated last year
- Estimate dataset difficulty and detect label mistakes using reconstruction error ratios!☆25Updated 5 months ago
- EdgeSAM model for use with Autodistill.☆27Updated last year
- Accurately locating each head's position in the crowd scenes is a crucial task in the field of crowd analysis. However, traditional densi…☆21Updated last year
- Use Grounding DINO, Segment Anything, and CLIP to label objects in images.☆31Updated last year
- Semantically Search Emojis From the Command Line!☆13Updated last year
- Repository for implementing moving polygone zone annotators☆18Updated last year
- A curated list of papers that released datasets along with their work☆125Updated 8 months ago
- GroundedSAM Base Model plugin for Autodistill☆51Updated last year
- ☆13Updated last year