autodistill
There are 49 repositories under autodistill topic.
autodistill/autodistill-grounded-sam-2
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
autodistill/autodistill-florence-2
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
autodistill/autodistill-grounded-sam
GroundedSAM Base Model plugin for Autodistill
autodistill/autodistill-yolov8
YOLOv8 Target Model plugin for Autodistill
autodistill/autodistill-grounded-edgesam
EdgeSAM model for use with Autodistill.
autodistill/autodistill-gpt-4v
GPT-4V(ision) module for use with Autodistill.
autodistill/autodistill-grounding-dino
Grounding DINO module for use with Autodistill.
autodistill/autodistill-detic
DETIC module for use with Autodistill.
autodistill/autodistill-paligemma
Use PaliGemma to auto-label data for use in training fine-tuned vision models.
autodistill/autodistill-sam-clip
SAM-CLIP module for use with Autodistill.
autodistill/autodistill-dinov2
DINOv2 module for use with Autodistill.
autodistill/autodistill-gpt-4o
GPT-4o (with Vision) module for use with Autodistill.
autodistill/autodistill-clip
CLIP module for use with Autodistill.
JayyShah/End-to-end-Computer-Vision
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.
autodistill/autodistill-owl-vit
OWL-ViT module for Autodistill.
autodistill/autodistill-sam-hq
Segment Anything HQ (SAM HQ) module for use with Autodistill.
alejandroolivo/Autodistill-testing-with-bottles
Autodistill es una herramienta que permite autoanotar imágenes y entrenarlas utilizando un modelo base potente y un modelo objetivo rápido y óptimo.
autodistill/autodistill-llava
LLaVA base model for use with Autodistill.
autodistill/autodistill-owlv2
OWLv2 base model for use with Autodistill.
autodistill/autodistill-seggpt
SegGPT module for use with Autodistill
autodistill/autodistill-vit
ViT module for use with autodistill.
autodistill/autodistill-yolonas
YOLO-NAS module for use with Autodistill.
autodistill/autodistill-base-model-template
A template for use in creating Autodistill Base Model packages.
autodistill/autodistill-blip
BLIP module for use with Autodistill.
autodistill/autodistill-fastsam
FastSAM module for use with Autodistill.
autodistill/autodistill-roboflow-universe
Use models on Roboflow Universe to auto-label data for use in model training.
autodistill/autodistill-vlpart
VLPart model for use with Autodistill.
autodistill/autodistill-gemini
Use Gemini to auto-label images for use with Autodistill.
autodistill/autodistill-yolo-world
YOLO World base module for use with Autodistill.
autodistill/autodistill-codet
CoDet base model for use with Autodistill.
autodistill/autodistill-detr
DETR (resnet-50) module for use with Autodistill.
autodistill/autodistill-segment-anything
Use Segment Anything to identify objects in an image.
autodistill/autodistill-bioclip
BioCLIP base model for use with Autodistill.
autodistill/autodistill-fuyu
Fuyu multi-modal language model for use with Autodistill.
autodistill/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.
Marinto-Richee/AI-Image-Annotation
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.