Combining OwlViT with Segment Anything - Open-vocabulary Detection and Segmentation (Text-conditioned, and Image-conditioned)
-
Updated
Aug 12, 2023 - Jupyter Notebook
Combining OwlViT with Segment Anything - Open-vocabulary Detection and Segmentation (Text-conditioned, and Image-conditioned)
Run zero-shot prediction models on your data
Annotation assistent tool that uses CLIP to find described objects in dataset and label them
Vector with Advanced AI compatibilities
Enhance your skills in prompt engineering for vision models. Learn to effectively prompt, fine-tune, and track experiments for models like SAM, OWL-ViT, and Stable Diffusion 2.0 to achieve precise image generation, segmentation, and object detection.
LLMs/LVMs/LMMs Prompt Engineering & Quantization
Back-end model of Efficient Video Analytics, 2023 summer research intern
Add a description, image, and links to the owl-vit topic page so that developers can more easily learn about it.
To associate your repository with the owl-vit topic, visit your repo's landing page and select "manage topics."