Use Azure Vision Studio to train a fine-tuned object detection model that you own.
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Updated
Oct 27, 2023 - Python
Use Azure Vision Studio to train a fine-tuned object detection model that you own.
A template for use in creating Autodistill Base Model packages.
FastSAM module for use with Autodistill.
GPT-4o (with Vision) module for use with Autodistill.
Open Flamingo module for use with Autodistill.
YOLO World base module for use with 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
Use AWS Rekognition to train custom models that you own.
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.
FastViT base model for use with Autodistill.
BioCLIP base model for use with Autodistill.
Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
AltCLIP model for use with Autodistill.
VLPart model for use with Autodistill.
Use Segment Anything to identify objects in an image.
EfficientSAM base model for use with Autodistill.
CoDet base model for use with Autodistill.
ViT module for use with autodistill.
Qwen-VL base model for use with Autodistill.
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