Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
-
Updated
Aug 7, 2024 - Python
#
autodistill
Here are 49 public repositories matching this topic...
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
-
Updated
Aug 15, 2024 - Python
GroundedSAM Base Model plugin for Autodistill
-
Updated
Apr 17, 2024 - Python
YOLOv8 Target Model plugin for Autodistill
-
Updated
Nov 21, 2023 - Python
GPT-4V(ision) module for use with Autodistill.
-
Updated
Jul 30, 2024 - Python
EdgeSAM model for use with Autodistill.
-
Updated
Jun 11, 2024 - Python
Grounding DINO module for use with Autodistill.
-
Updated
Jul 1, 2024 - Python
SAM-CLIP module for use with Autodistill.
-
Updated
Nov 21, 2023 - Python
Use PaliGemma to auto-label data for use in training fine-tuned vision models.
-
Updated
Jun 13, 2024 - Python
GPT-4o (with Vision) module for use with Autodistill.
-
Updated
May 15, 2024 - Python
DINOv2 module for use with Autodistill.
-
Updated
Dec 6, 2023 - Python
CLIP module for use with Autodistill.
-
Updated
Dec 5, 2023 - Python
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.
machine-learning
computer-vision
deep-learning
neural-network
transformer
yolo
ssd
image-classification
object-detection
image-segmentation
clip
rcnn
mrcnn
openvino-toolkit
dinov2
grounding-dino
autodistill
-
Updated
Jan 9, 2024 - Jupyter Notebook
Segment Anything HQ (SAM HQ) module for use with Autodistill.
-
Updated
Dec 6, 2023 - Python
LLaVA base model for use with Autodistill.
-
Updated
Jan 24, 2024 - Python
SegGPT module for use with Autodistill
-
Updated
Dec 6, 2023 - Jupyter Notebook
OWLv2 base model for use with Autodistill.
-
Updated
Feb 20, 2024 - Python
A template for use in creating Autodistill Base Model packages.
-
Updated
Jan 10, 2024 - Python
Improve this page
Add a description, image, and links to the autodistill topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the autodistill topic, visit your repo's landing page and select "manage topics."