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Annotate-Lab
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    • ๐ŸšฒAnnotating Bicycle
    • ๐Ÿ–ผ๏ธRipe and Unripe Tomatoes Dataset
    • ๐Ÿช„Auto Bounding Box Selection with Segment Anything Model (SAM)
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Ripe and Unripe Tomatoes Dataset

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Last updated 11 months ago

This dataset contains annotated images of tomatoes at various stages of ripeness. It is designed to support research and development in agricultural automation, specifically for training machine learning models to distinguish between ripe and unripe tomatoes. The dataset includes annotated images created using an , ensuring precise and accurate labeling of ripeness status.

The dataset is available on . . and consists of a total of 177 images. The class distribution shows 429 ripe and 440 unripe images, with 33 images classified as mixed.

Some of the annotated image samples are shown below:

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annotation lab
Kaggle
Ripe and Unripe Dataset
Class distribution of ripe and unripe images
Image counting both ripe and unripe tomatoes
Annotated Image Samples