Search and detect objects in images using text queries
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Search and Detect (CLIP/OWL-ViT) is an advanced AI-powered tool designed for object detection and search within images. It leverages the combined capabilities of CLIP (Contrastive Language–Image Pretraining) and OWL-ViT (Object-wise Vision Transformers) models to deliver highly accurate text-based search and detection. This tool enables users to efficiently locate specific objects or features within images by using textual queries, making it a versatile solution for applications ranging from content moderation to visual analytics.
• Text-based Object Detection: Search for objects within images using descriptive text queries. • Accurate Object Localization: Pinpoint the exact location of detected objects using bounding boxes. • Multi-model Framework: Combines the strengths of CLIP and OWL-ViT for robust performance. • Real-time Processing: Enables quick analysis and detection, even for large images. • High Precision: Delivers accurate results with minimal false positives. • Integration-ready: Easily integrable with existing workflows and applications.
What models does Search and Detect use?
Search and Detect uses the CLIP (Contrastive Language–Image Pretraining) model for text-based image understanding and the OWL-ViT (Object-wise Vision Transformers) model for object detection and localization.
Can I use non-English text queries?
Yes, Search and Detect supports multiple languages. However, the accuracy may vary depending on the language and complexity of the query.
What formats of images does the tool support?
The tool supports common image formats including JPEG, PNG, BMP, and TIFF. Ensure images are of sufficient resolution for accurate detection.