IDEA-Research/Grounding-DINO-1.5-API

API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

Language: Python - Size: 33.2 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 484 - Forks: 16

lorebianchi98/FG-OVD

[CVPR2024] Official repository of the paper "The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding."

Language: Python - Size: 96 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 21 - Forks: 3

autodistill/autodistill-owlv2

OWLv2 base model for use with Autodistill.

Language: Python - Size: 10.7 KB - Last synced: 2 days ago - Pushed: 4 months ago - Stars: 4 - Forks: 4

autodistill/autodistill-paligemma

Use PaliGemma to auto-label data for use in training fine-tuned vision models.

Language: Python - Size: 14.6 KB - Last synced: 18 days ago - Pushed: 19 days ago - Stars: 2 - Forks: 0

parnerka/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 - Size: 235 MB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 0 - Forks: 0

FoundationVision/GLEE

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

Language: Python - Size: 22.3 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 910 - Forks: 72

autodistill/autodistill-yolo-world

YOLO World base module for use with Autodistill.

Language: Python - Size: 11.7 KB - Last synced: about 2 months ago - Pushed: 4 months ago - Stars: 3 - Forks: 0

autodistill/autodistill-codet

CoDet base model for use with Autodistill.

Language: Python - Size: 37.1 KB - Last synced: about 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

sandipan211/ZSD-SC-Resolver

Resolving semantic confusions for improved zero-shot detection (BMVC 2022)

Language: Python - Size: 77 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 20 - Forks: 4

autodistill/autodistill-efficient-yolo-world

EfficientSAM + YOLO World base model for use with Autodistill.

Language: Python - Size: 5.86 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 2 - Forks: 0

ai-forever/fusion_brain_aij2021

Creating multimodal multitask models

Language: Jupyter Notebook - Size: 4.29 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 47 - Forks: 16

autodistill/autodistill-qwen-vl

Qwen-VL base model for use with Autodistill.

Language: Python - Size: 6.84 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

hpc203/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 - Size: 2.66 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 5 - Forks: 1

rohit901/cooperative-foundational-models

Official code for our paper "Enhancing Novel Object Detection via Cooperative Foundational Models"

Language: Python - Size: 6.17 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 14 - Forks: 0

capjamesg/sam-clip

Use Grounding DINO, Segment Anything, and CLIP to label objects in images.

Language: Python - Size: 6.84 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 16 - Forks: 3

KennithLi/Awesome-Zero-Shot-Object-Detection

Size: 21.5 KB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 117 - Forks: 7

witnessai/Awesome-Zero-Shot-Object-Detection

A curated list of papers, datasets and resources pertaining to zero-shot object detection.

Size: 11.7 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 7 - Forks: 0

HassanBinHaroon/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 - Size: 1.04 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

iKrishneel/zsis

CLIP based Zero Shot Instance Segmentation

Language: Jupyter Notebook - Size: 1.48 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0