106 projects
autodistill-swinv2
autodistill-efficientsam
EfficientSAM model for use with Autodistill
autodistill-blip2
autodistill-gcp-vision
Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
rf-clip
None
autodistill-vit
ViT module for use with Autodistill
autodistill-remote-clip
Remote CLIP model for use with Autodistill
autodistill-yolo-world
YOLO World for use with Autodistill
dracarys
None
autodistill-grounded-edgesam
Model for use with Autodistill
autodistill-roboflow-universe
Use models on Roboflow Universe to auto-label data for use in model training.
autodistill-blip
BLIP module for use with Autodistill
sam3
SAM3 (Segment Anything Model 3) implementation
autodistill-oneformer
autodistill-grounded-sam-2
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
autodistill-sam-hq
Segment Anything High Quality (SAM HQ) model for use with Autodistill
autodistill-yolov4
autodistill-otter
autodistill-paligemma
Auto-label data with a PaliGemma model, or ine-tune a PaLiGemma model using custom data with Autodistill.
autodistill-llava
LLaVA for use with Autodistill
autodistill-azure-vision
Azure Vision base model for use with Autodistill
magic-scissors
Generate synthetic data for computer vision projects using copy-paste context-augmentation.
supermodal
autodistill-mobileclip
Model for use with Autodistill
autodistill-yolor
roboflow
Official Python package for working with the Roboflow API
inference
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
autodistill-open-flamingo
autodistill-yolov5
YOLOv5 module for use with Autodistill
autodistill-yolonas
YOLO-NAS module for use with Autodistill
rf-nanoowl
roboflow-slim
Lightweight Roboflow SDK for vision events, workspace management, and CLI
inference-cpu
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
autodistill-yolov8
Automatically distill large foundational models into smaller, in-domain models for deployment
inference-gpu
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
autodistill-setfit
Train SetFit models with Autodistill
autodistill-gpt5
autodistill-owlv2
OWLv2 base model for use with Autodistill.
autodistill-florence-2
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
autodistill-gpt4
autodistill-siglip
SigLIP base model for use with Autodistill
autodistill-azure
autodistill-gpt-4o
GPT-4o model for use with Autodistill
autodistill-efficient-yolo-world
EfficientSAM + YOLO-World base model for use with Autodistill
autodistill-kosmos-2
Kosmos-2 base model for use with Autodistill.
rf100vl
RF100-VL Dataset Interface
autodistill-chameleon
autodistill-flan
autodistill-yolov11
Label data with and train YOLOv11 models.
autodistill-fastsam
FastSAM module for use with Autodistill
autodistill-detic
DETIC module for use with Autodistill
autodistill-flamingo
autodistill-gemini
Model for use with Autodistill
goat
Goat implements a behave matcher which uses python3 function annotations for step definitiions
autodistill-llama
autodistill-vlpart
VLPart for use with Autodistill
rf-yoloworld
rf-groundingdino
open-set object detector
autodistill-rekognition
AWS Rekognition base model for use with Autodistill
autodistill-albef
ALBEF module for use with Autodistill
autodistill-yolox
yoloworld
autodistill-metaclip
MetaCLIP base model for use with Autodistill.
autodistill-yolov9
autodistill-distilbert
DistilBERT model for use with Autodistill
rf-segment-anything
Segment anything with a few lines of code
autodistill-altclip
AltCLIP model for use with Autodistill.
autodistill-dino
autodistill-clip
CLIP module for use with Autodistill
autodistill-seggpt
SegGPT for use with Autodistill
autodistill-gpt-4v
GPT-4V model for use with Autodistill
autodistill-codet
CoDet model for use with Autodistill
autodistill-sam3
Segment Anything 3 model for use with Autodistill.
autodistill
Distill large foundational models into smaller, domain-specific models for deployment
autodistill-yolov6
inference-core
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
autodistill-segment-anything
Segment Anything model for use with Autodistill
autodistill-sam-clip
SAM-CLIP model for use with Autodistill
autodistill-palm
autodistill-glip
autodistill-gpt-text
Model for use with Autodistill
autodistill-coca
autodistill-grounded-sam
Automatically distill large foundational models into smaller, in-domain models for deployment
autodistill-palm-e
autodistill-detr
DETR module for use with Autodistill
convolutions
Placeholder
autodistill-efficientnet
supervision
A set of easy-to-use utils that will come in handy in any Computer Vision project
autodistill-rfdetr
RF-DETR model for use with Autodistill
autodistill-transformers
Use object detection models in Hugging Face Transformers to automatically label data to train a fine-tuned model.
autodistill-palm2
autodistill-bioclip
BioCLIP model for use with Autodistill
autodistill-swin
autodistill-owl-vit
OWL-ViT module for use with Autodistill
autodistill-fastvit
FastViT model for use with Autodistill
rofl
None
autodistill-tag2text
maestro
Streamline the fine-tuning process for vision-language models like PaliGemma 2, Florence-2, and Qwen2.5-VL.
autodistill-vertex
Mantis
A Minimalist ORM for Python
autodistill-grounding-dino
GroundingDINO module for use with Autodistill
autodistill-deta
autodistill-dinov2
DINOv2 module for use with Autodistill
autodistill-chat-gpt
autodistill-hls-geospatial
Use the HLS Geospatial model made by NASA and IBM to generate masks for use in training a fine-tuned segmentation model.
rfdetr-plus
RF-DETR+ Extension Package
