Small Object Detection With YOLO26

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Small Object Detection with YOLO26 is an AI tool for small object detection and segmentation using YOLO26 and SAHI. It allows users to upload images and apply various detection and segmentation models.

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Pricing

Likely Free

Free tier

Yes

API

Skill level

Technical

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About

What is Small Object Detection with YOLO26?

Small Object Detection with YOLO26 is an AI tool hosted on Hugging Face Spaces, designed for advanced object detection and segmentation tasks. It leverages the power of YOLO26 and SAHI (Slicing Aided Hyper Inference) to accurately identify and segment small objects within images. Users can upload an image, select a preferred YOLO26 detection or segmentation model, and the application will perform both standard and SAHI-sliced inference. The results are returned as two versions of the original image, clearly marked with bounding boxes and segmentation masks, making it ideal for research, development, and educational exploration of computer vision techniques.

Best used for

Ideal for researchers and developers who need to accurately detect and segment small objects in images, compare the performance of different YOLO26 models, and explore advanced inference techniques like SAHI. Especially valuable for academic studies and prototyping computer vision solutions.

Common actions

detect objects

segment images

analyze images

experiment with models

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Capabilities

Key features

YOLO26 detection models
YOLO26 segmentation models
SAHI-sliced inference
Bounding box visualization
Segmentation mask visualization

Target Audience

professorresearcherdeveloper

Integrations

Not yet documented

Pricing & Plans

Likely Free

Free

FAQs

What is SAHI-sliced inference and why is it used?

SAHI (Slicing Aided Hyper Inference) is a technique used to improve the detection of small objects by slicing the input image into smaller overlapping patches, running inference on each patch, and then merging the results. This helps overcome limitations of standard object detection models when dealing with very small instances.

Can I use my own YOLO26 models with this tool?

The tool provides pre-selected YOLO26 detection and segmentation models for immediate use. It is designed as a demonstration and experimentation platform, and direct uploading of custom models by users is not explicitly mentioned as a feature.

What kind of output does the tool provide?

After processing an image, the tool returns two versions of the input image. These images are augmented with visual indicators such as bounding boxes around detected objects and segmentation masks to highlight the segmented areas, providing clear results of the inference.

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Research & Education › Academic Research Coding & Development › Open Source & Models Research & Education › Scientific Computing

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