Alternatives and similar repositories for autodistill-detic:

Users that are interested in autodistill-detic are comparing it to the libraries listed below

• autodistill / autodistill-grounded-sam
  GroundedSAM Base Model plugin for Autodistill
  ☆47Updated 9 months ago
• roboflow / cvevals
  Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…
  ☆35Updated last year
• visual-layer / visuallayer
  Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …
  ☆67Updated last year
• jacobmarks / image-quality-issues
  FiftyOne Plugin for finding common image quality issues
  ☆31Updated 3 months ago
• elsevierlabs-os / clip-image-search
  Fine-tuning OpenAI CLIP Model for Image Search on medical images
  ☆76Updated 2 years ago
• autodistill / autodistill-metaclip
  MetaCLIP module for use with Autodistill.
  ☆21Updated last year
• apple / ml-mofi
  ☆58Updated 11 months ago
• jacobmarks / zero-shot-prediction-plugin
  Run zero-shot prediction models on your data
  ☆30Updated last month
• capjamesg / sam-gpt4v
  Use Grounding DINO, Segment Anything, and GPT-4V to label images with segmentation masks for use in training smaller, fine-tuned models.
  ☆65Updated last year
• SkalskiP / fashion-assistant
  Our idea is to combine the power of computer vision model and LLMs. We use YOLO, CLIP and DINOv2 to extract high-level features from imag…
  ☆110Updated last year
• SkalskiP / gradio_image_annotator
  A component that allows you to annotate an image with points and boxes.
  ☆19Updated last year
• autodistill / autodistill-grounded-edgesam
  EdgeSAM model for use with Autodistill.
  ☆26Updated 8 months ago
• mailcorahul / auto_labeler
  auto_labeler - An all-in-one library to automatically label vision data
  ☆14Updated 3 weeks ago
• voxel51 / reconstruction-error-ratios
  Estimate dataset difficulty and detect label mistakes using reconstruction error ratios!
  ☆20Updated last month
• autodistill / autodistill-grounded-sam-2
  Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
  ☆110Updated 6 months ago
• autodistill / autodistill-grounding-dino
  Grounding DINO module for use with Autodistill.
  ☆17Updated 7 months ago
• MiXaiLL76 / faster_coco_eval
  Continuation of an abandoned project fast-coco-eval
  ☆85Updated 3 weeks ago
• facebookresearch / selective-vqa_ood
  Implementation for the CVPR 2023 paper "Improving Selective Visual Question Answering by Learning from Your Peers" (https://arxiv.org/abs…
  ☆24Updated last year
• CharlesCNorton / yoflo-gui
  Real-time, YOLO-like object detection using the Florence-2-base-ft model with a user-friendly GUI.
  ☆17Updated last month
• AyushExel / trolo
  An SDK for Transformers + YOLO and other SSD family models
  ☆59Updated 3 weeks ago
• LAION-AI / OCR-ensemble
  ☆38Updated last year
• roboflow / inference-client
  ☆14Updated last year
• XiaoduoAILab / XmodelVLM
  ☆68Updated 7 months ago
• lakeraai / onnx_clip
  An ONNX-based implementation of the CLIP model that doesn't depend on torch or torchvision.
  ☆64Updated 7 months ago
• autodistill / autodistill-yolov8
  YOLOv8 Target Model plugin for Autodistill
  ☆43Updated last year
• Resham-Sundar / sahi-yolox
  Implementation of SAHI with YoloX
  ☆13Updated 2 years ago
• roboflow / model-leaderboard
  Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.
  ☆62Updated this week
• edgarGracia / gradio_image_annotator
  A Gradio component that can be used to annotate images with bounding boxes.
  ☆43Updated 3 months ago
• insight-platform / SavantPyTorchComparison
  Compare Savant and PyTorch performance
  ☆13Updated last year
• voxel51 / zcore
  ☆65Updated last month