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A large-scale street fashion dataset with polygon annotations for computer vision research.

ModaNet is a dataset of street fashion images annotated with polygons, designed to serve as a benchmark for computer vision research. It provides multiple polygon annotations for each image, with each polygon associated with a label from 13 meta fashion categories. The annotations are based on images in the PaperDoll image set but extend it significantly. ModaNet supports tasks such as semantic segmentation, object detection, and instance segmentation, providing leaderboards in COCO-style through EvalAI. The dataset's format follows the COCO-dataset style. It is intended to facilitate research in areas including polygon detection and segmentation.
ModaNet is a dataset of street fashion images annotated with polygons, designed to serve as a benchmark for computer vision research.
Explore all tools that specialize in polygon detection. This domain focus ensures ModaNet delivers optimized results for this specific requirement.
Provides detailed polygon annotations for each fashion item in the images, enabling precise segmentation and object detection.
The dataset follows the COCO annotation format, ensuring compatibility with standard computer vision tools and libraries.
ModaNet includes a large number of street fashion images, providing ample data for training robust models.
Each polygon is associated with a label from 13 meta fashion categories, enabling fine-grained analysis and categorization.
Integration with EvalAI provides leaderboards for semantic segmentation, instance segmentation, and object detection, enabling benchmarking and comparison of models.
Install Git Large File Storage (LFS).
Clone the repository using 'git clone git@github.com:eBay/modanet.git'.
Verify the annotation files using md5sum. Use 'md5 modanet2018_instances_train.json' on Mac.
Expect the md5 value '96478657d20e322e9d3282c6d73c0c4c' for the training set.
Check the validation annotation file with 'md5 modanet2018_instances_val.json' to see '900b24b7d6c0c48203e6244f45d65499'.
Ensure the file sizes are approximately 101MB for 'modanet2018_instances_train.json' and 210KB for 'modanet2018_instances_val.json'.
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"A valuable dataset for advancing computer vision research in the fashion domain, praised for its detailed annotations."
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