Topics / #imagenet

Imagenet projects on GitHub

Image classification models and datasets from large-scale visual recognition benchmarks.

As of , the most-starred Imagenet projects on GitHub are pytorch-image-models (37.2K stars), labelImg (25K stars) and Swin-Transformer (16.1K stars). GitHub.Locker tracks 6 Imagenet repositories with 104.7K stars combined. The fastest-growing on October 16 was VisionHOPE, with +111 stars in a day.

6Projects
104.7KStars in total
+120Stars in a day
Browse in the catalog →github.com/topics/imagenet ↗

Hot right now

Most stars gained in a day · Oct 16

+111

VisionHOPE

PSRben/VisionHOPE · ★ 1.2K

VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

+4

pytorch-image-models

huggingface/pytorch-image-models · ★ 37.2K

PyTorch Image Models (timm) — the largest collection of PyTorch image encoders and backbones, shipped with pretrained weights plus train, eval, inference and export scripts.

+4

dinov2

facebookresearch/dinov2 · ★ 13.4K

DINOv2, a self-supervised visual feature learning method from Meta AI's FAIR team, shipped as PyTorch code and pretrained models. Its features plug into classifiers as simple as linear layers across many vision tasks, with no fine-tuning required.

+1

segmentation_models.pytorch

qubvel-org/segmentation_models.pytorch · ★ 11.8K

A Python library for building image semantic segmentation models in PyTorch, with over 500 pretrained convolutional and transformer-based backbones.

The all-time top

6 projects · by stars

  1. #1 · huggingface/pytorch-image-models

    pytorch-image-models

    PyTorch Image Models (timm) — the largest collection of PyTorch image encoders and backbones, shipped with pretrained weights plus train, eval, inference and export scripts.

    37.2K
  2. #2 · HumanSignal/labelImg

    labelImg

    A graphical image annotation tool: you draw bounding boxes around objects in images to build labeled datasets for object detection. Created by Tzutalin, it now lives with the Label Studio community.

    25K
  3. #3 · microsoft/Swin-Transformer

    Swin-Transformer

    The official Microsoft implementation of the Swin Transformer paper and its follow-ups: a hierarchical vision Transformer that computes attention with shifted windows and serves as a general-purpose backbone for computer vision tasks.

    16.1K
  1. 4

    dinov2

    13.4Kfacebookresearch/dinov2 · Jupyter Notebook

    DINOv2, a self-supervised visual feature learning method from Meta AI's FAIR team, shipped as PyTorch code and pretrained models. Its features plug into classifiers as simple as linear layers across many vision tasks, with no fine-tuning required.

  2. 5

    segmentation_models.pytorch

    11.8Kqubvel-org/segmentation_models.pytorch · Python

    A Python library for building image semantic segmentation models in PyTorch, with over 500 pretrained convolutional and transformer-based backbones.

  3. 6

    VisionHOPE

    1.2KPSRben/VisionHOPE · Python

    VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

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