jacobmarks / vqa-pluginLinks
Perform visual question answering on your images
☆19Updated last year
Alternatives and similar repositories for vqa-plugin
Users that are interested in vqa-plugin are comparing it to the libraries listed below
Sorting:
- Testbed for multimodal retrieval augmented generation techniques with FiftyOne, LlamaIndex, and Milvus☆21Updated last year
- Run zero-shot prediction models on your data☆36Updated last year
- My journey during 10 weeks of building FiftyOne plugins☆22Updated 2 years ago
- Albumentations Data Augmentation Plugin for FiftyOne!☆13Updated last year
- Convert datasets from Hugging Face to FiftyOne for Visualization☆11Updated last year
- ☆13Updated last year
- AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions☆250Updated last year
- A curated list of papers that released datasets along with their work☆126Updated last year
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆138Updated this week
- FiftyOne Plugin for finding common image quality issues☆34Updated last year
- Remove exact and approximate duplicates from your dataset in FiftyOne!☆18Updated last year
- ☆93Updated last month
- Use Grounding DINO, Segment Anything, and CLIP to label objects in images.☆34Updated 2 years ago
- A collection of hand on notebook for LLMs practitioner☆51Updated 11 months ago
- Computer Vision dataset analysis☆310Updated last year
- Use Grounding DINO, Segment Anything, and GPT-4V to label images with segmentation masks for use in training smaller, fine-tuned models.☆66Updated 2 years ago
- Skynet☆86Updated 2 years ago
- Flask-based web application designed to compare text and image embeddings using the CLIP model.☆22Updated last year
- Use text-to-image models Stable Diffusion, DALL-E2, DALL-E3, SDXL, SSD-1B, Kandinsky-2.2, and LCM from UI. Add images directly to your da…☆33Updated last year
- Table detection with Florence.☆15Updated last year
- GPT-4V(ision) module for use with Autodistill.☆25Updated last year
- An ONNX-based implementation of the CLIP model that doesn't depend on torch or torchvision.☆76Updated last year
- Run optical character recognition with PyTesseract from the FiftyOne App!☆11Updated last year
- ☆13Updated 2 years ago
- ☆59Updated last year
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆37Updated 2 years ago
- Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics inclu…☆56Updated 11 months ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆47Updated 3 weeks ago
- Notebooks using the Neural Magic libraries 📓☆39Updated last year
- Hands-on hub to learn techniques to optimize and serve AI models to production the most optimal way.☆13Updated 4 months ago