Topic: autodistill Goto Github
Some thing interesting about autodistill
Some thing interesting about autodistill
autodistill,Autodistill es una herramienta que permite autoanotar imágenes y entrenarlas utilizando un modelo base potente y un modelo objetivo rápido y óptimo.
User: alejandroolivo
autodistill,ALBEF module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,AltCLIP model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use Azure Vision Studio to train a fine-tuned object detection model that you own.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,A template for use in creating Autodistill Base Model packages.
Organization: autodistill
Home Page: https://docs.autodistill.com/contributing/
autodistill,BioCLIP base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,BLIP module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,CLIP module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,CoDet base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,DETIC module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,DETR (resnet-50) module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,DINOv2 module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,EfficientSAM base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,FastSAM module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.roboflow.com
autodistill,FastViT base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Fuyu multi-modal language model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use Gemini to auto-label images for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,GPT-4V(ision) module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.roboflow.com
autodistill,EdgeSAM model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,GroundedSAM Base Model plugin for Autodistill
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Grounding DINO module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use the HLS Geospatial model made by NASA and IBM to generate masks for use in training a fine-tuned segmentation model.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,LLaVA base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Open Flamingo module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,OWL-ViT module for Autodistill.
Organization: autodistill
Home Page: https://autodistill.com
autodistill,OWLv2 base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use PaliGemma to auto-label data for use in training fine-tuned vision models.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Qwen-VL base model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use AWS Rekognition to train custom models that you own.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use models on Roboflow Universe to auto-label data for use in model training.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,SAM-CLIP module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Segment Anything HQ (SAM HQ) module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,SegGPT module for use with Autodistill
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Use Segment Anything to identify objects in an image.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,A template for use in creating Autodistill Target Model packages.
Organization: autodistill
Home Page: https://docs.autodistill.com/contributing/
autodistill,ViT module for use with autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,VLPart model for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,YOLO World base module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,YOLO-NAS module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,YOLOv5 module for use with Autodistill.
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,YOLOv8 Target Model plugin for Autodistill
Organization: autodistill
Home Page: https://docs.autodistill.com
autodistill,Application de détection de bateaux à partir de vues aériennes utilisant Yolov8.
User: davidscanu
autodistill,Explore the cutting edge of computer vision with this comprehensive repository, showcasing a spectrum from classical machine learning to state-of-the-art transformer models.
User: jayyshah
autodistill,An intuitive Python tool for annotating images with bounding boxes. Easily assign custom classes to objects and save annotations. Includes AI model integration for automated annotation. Perfect for streamlining computer vision projects. classes to these objects, and save annotations.
User: marinto-richee
autodistill,RaidexAI is a Next.js application integrated with a machine learning model, YOLOv8, to detect anomalies in radiology images. The output is sent to a Flask server, which uses OpenCV to create Regions of Interest (ROIs) in the images and employs a Language Model (LLM) for contextual analysis, interpreting the content alongside the detected anomalies
User: rakeshkanneeswaranofficial
Home Page: https://radixai-six.vercel.app
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