Image

Images present a different type of unstructured data. Indexify allows you the freedom to choose the extractor of your choice based on the specific use-case and type of images. If you want to learn more about extractors, their design and usage, read the Indexify documentation.

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Florence Image Extractor

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Description

FlorenceImageExtractor is a powerful image analysis tool leveraging the Microsoft Florence-2 large vision-language model. It performs a wide range of image understanding tasks, from simple captioning to complex visual reasoning.

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Input Parameters

• model_name (default: ‘microsoft/Florence-2-large’): Name of the Florence model to use
• task_prompt (default: ’CAPTION’): Task prompt for the model
• text_input (optional): Additional text input for the task

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Input Data Types

["image/jpeg", "image/png", "image/gif"]

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Class Name

FlorenceImageExtractor

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Download Command

indexify-extractor download tensorlake/florence

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Yolo

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Description

Extract bounding boxes and class names from Ultralytics YOLOv9 model.

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Input Parameters

• model_name (default: ‘yolov8n.pt’): Name of the YOLO model to use
• conf (default: 0.25): Confidence threshold for detections
• iou (default: 0.7): IoU threshold for non-maximum suppression

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Input Data Types

["image/jpeg", "image/png"]

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Class Name

YoloExtractor

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Download Command

indexify-extractor download tensorlake/yolo-extractor

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Moondream

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Description

Moondream2 is a 1.86B parameter tiny vision language model initialized with weights from SigLIP and Phi 1.5. This extractor uses Moondream to answer questions about images.

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Input Parameters

• prompt (default: “Describe this image.“): Question or prompt about the image

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Input Data Types

["image/bmp", "image/gif", "image/jpeg", "image/png", "image/tiff"]

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Class Name

MoondreamExtractor

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Download Command

indexify-extractor download tensorlake/moondream