zero-shot-object-detection
There are 3 repositories under zero-shot-object-detection topic.
- Language:Python 1336
FoundationVision / GLEE
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale
foundation-modelobject-detectionopen-worldtrackingopen-vocabulary-detectionopen-vocabulary-segmentationopen-vocabulary-video-segmentationreferring-expression-comprehensionreferring-expression-segmentationvideo-instance-segmentationvideo-object-segmentationzero-shot-object-detectionreferring-video-object-segmentationinteractive-segmentationsegment-anythingLanguage:Python 1152IDEA-Research / Grounding-DINO-1.5-API
Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
Language:Python 1029wanghao9610 / OV-DINO
Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
Language:Python 303hpc203 / GroundingDINO-onnxrun
使用onnxruntime部署GroundingDINO开放世界目标检测，包含C++和Python两个版本的程序
Language:Python 73rohit901 / cooperative-foundational-models
[WACV 2025] Official code for our paper "Enhancing Novel Object Detection via Cooperative Foundational Models"
Language:Python 72jvpassarelli / sam-clip-segmentation
Image Instance Segmentation - Zero Shot - OpenAI's CLIP + Meta's SAM
Language:Jupyter Notebook 69autodistill / autodistill-florence-2
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
Language:Python 62lorebianchi98 / FG-OVD
[CVPR2024 Highlight] Official repository of the paper "The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding."
Language:Python 52ai-forever / fusion_brain_aij2021
Creating multimodal multitask models
Language:Jupyter Notebook 50rhysdg / vision-at-a-clip
Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts
Language:Jupyter Notebook 43- Language:Python 30
witnessai / Awesome-Zero-Shot-Object-Detection
A curated list of papers, datasets and resources pertaining to zero-shot object detection.
sandipan211 / ZSD-SC-Resolver
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
Language:Python 24deepmancer / clip-object-detection
Zero-shot object detection with CLIP, utilizing Faster R-CNN for region proposals.
Language:Jupyter Notebook 17Use PaliGemma to auto-label data for use in training fine-tuned vision models.
Language:Python 12EfficientSAM + YOLO World base model for use with Autodistill.
Language:Python 10OWLv2 base model for use with Autodistill.
Language:Python 4HassanBinHaroon / GroundingDINO-Inference
This project represents a GroundingDINO Inference (zero-shot object detection) procedure with both methods (CLI and Script). This implementation will help the reader to know the sequence of commands and exemplifying commands for running a quick zero-shot object detection. Additionally, the reader may get insight into code (script) execution.
Language:Jupyter Notebook 4MinLee0210 / Smart-Evaluation-Solution
A project for AngelHack competition - h4ckhcmc 2024
Language:Python 4YOLO World base module for use with Autodistill.
Language:Python 3CoDet base model for use with Autodistill.
Language:Python 2sefaburakokcu / autodetectify
Autodectify: Detect and Export Objects with Zero-Shot Object Detection Models
Language:Python 2Qwen-VL base model for use with Autodistill.
Language:Python 1capjamesg / image-collage
Generate an image collage with computer vision.
Language:Python 1iKrishneel / zsis
CLIP based Zero Shot Instance Segmentation
Language:Jupyter Notebook 1parnerka / CV-EyeTracking
Pranav's code contribution during his internship at ARL-W. Includes gaze-based object detection GUI and screen tracking script.
Language:Jupyter Notebook 0SvenPfiffner / SegmentBot
SegmentBot is a user-friendly web application for zero-shot image segmentation and editing. The app supports GPU acceleration and is designed for research and personal use, with a modular system for easy extension.
Language:Python 0
