Autodistill

Autodistill's repositories

autodistill

Images to inference with no labeling (use foundation models to train supervised models).

Language:PythonApache-2.01811 19 96

autodistill-grounded-sam-2

Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.

Language:PythonApache-2.060 5 2

autodistill-florence-2

Use Florence 2 to auto-label data for use in training fine-tuned object detection models.

Language:Python5300

autodistill-grounded-sam

GroundedSAM Base Model plugin for Autodistill

Language:PythonApache-2.042 3 10

autodistill-gpt-4v

GPT-4V(ision) module for use with Autodistill.

Language:PythonMIT25 5 3

autodistill-grounded-edgesam

EdgeSAM model for use with Autodistill.

Language:PythonNOASSERTION24 4 1

autodistill-grounding-dino

Grounding DINO module for use with Autodistill.

Language:PythonApache-2.018 4 8

autodistill-gpt-4o

GPT-4o (with Vision) module for use with Autodistill.

Language:PythonMIT1100

autodistill-paligemma

Use PaliGemma to auto-label data for use in training fine-tuned vision models.

Language:Python1100

autodistill-efficient-yolo-world

EfficientSAM + YOLO World base model for use with Autodistill.

Language:Python8 4 1

autodistill-siglip

SigLIP base model for use with Autodistill.

Language:Python7 40

autodistill-owl-vit

OWL-ViT module for Autodistill.

Language:PythonApache-2.05 4 2

autodistill-owlv2

OWLv2 base model for use with Autodistill.

Language:PythonApache-2.05 4 2

autodistill-yolonas

YOLO-NAS module for use with Autodistill.

Language:PythonNOASSERTION5 3 2

autodistill-gemini

Use Gemini to auto-label images for use with Autodistill.

Language:PythonMIT3 40

autodistill-roboflow-universe

Use models on Roboflow Universe to auto-label data for use in model training.

Language:PythonMIT3 20

autodistill-yolo-world

YOLO World base module for use with Autodistill.

Language:Python3 4 2

autodistill-blipv2

BLIPv2 model for use with Autodistill.

Language:PythonBSD-3-Clause2 20

autodistill-remote-clip

RemoteCLIP module for use with Autodistill.

Language:PythonApache-2.02 40

autodistill-bioclip

BioCLIP base model for use with Autodistill.

Language:PythonMIT1 5 1

autodistill-codet

CoDet base model for use with Autodistill.

Language:PythonApache-2.01 3 1

autodistill-yolov5

YOLOv5 module for use with Autodistill.

Language:PythonAGPL-3.01 3 1

autodistill-distilbert

Train a DistilBERT text classification model with Autodistill.

Language:PythonMIT000

autodistill-efficientsam

EfficientSAM base model for use with Autodistill.

Language:PythonApache-2.0040

autodistill-fastvit

FastViT base model for use with Autodistill.

Language:PythonNOASSERTION030

autodistill-gpt-text

Use GPT and LLaMAfile to classify text for use in training smaller, fine-tuned text classification models.

Language:Python000

autodistill-mobileclip

MobileCLIP base model for use with Autodistill.

Language:PythonNOASSERTION040

autodistill-qwen-vl

Qwen-VL base model for use with Autodistill.

Language:PythonNOASSERTION04 1

autodistill-setfit

Train a SetFit model for use in text classification.

Language:Python000

autodistill-target-model-template

A template for use in creating Autodistill Target Model packages.

Language:Python020