Grounding DINO: Automated Dataset Annotation and Evaluation | SOTA Zero-Shot Object Detector
Description: Dive deeper into Grounding DINO, the state-of-the-art zero-shot object detector, as we automate dataset annotation and evaluation. Learn how to set up the Python environment, load the model, and evaluate Grounding DINO on custom datasets from Roboflow Universe. This is Part 2 of our series, building on our previous video “Detect Anything You Want with Grounding DINO”. #GroundingDINO #ObjectDetection #DatasetAnnotation #AIModel #LanguageModel
Chapters:
00:00 Introduction
01:06 Notebook Overview
01:34 Setting up the Python environment
02:35 Load Grounding DINO model
03:48 Download Dataset from Roboflow Universe
04:44 Single Image Model Evaluation
05:35 Evaluate Grounding DINO on Custom Dataset
10:30 Dataset Auto Annotation with Grounding DINO
13:18 Outro
Resources:
🌏 Roboflow: https://roboflow.com
🌌 Roboflow Universe: https://universe.roboflow.com
📓 Automated Dataset Annotation and Evaluation with Grounding DINO notebook: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/automated-dataset-annotation-and-evaluation-with-grounding-dino.ipynb
🔥 Automated Dataset Annotation with Segment Anything and Grounding DINO: https://youtu.be/oEQYStnF2l8
🗞 Grounding DINO blog post: https://blog.roboflow.com/grounding-dino-zero-shot-object-detection/
🗞 Grounding DINO arXiv paper: https://arxiv.org/abs/2303.05499
💻 Grounding DINO repository: https://github.com/IDEA-Research/GroundingDINO
🎬 Detect Anything You Want with Grounding DINO | Zero-Shot Object Detection SOTA: https://youtu.be/cMa77r3YrDk
🎬 GPT 4: Will We Ever Train Again?: https://youtu.be/aNLl0wEdMq4
🎬 CLIP: OpenAI’s amazing new zero-shot image classifier: https://youtu.be/8o701AEoZ8I
Stay updated with the projects I’m working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
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