We write your reusable computer vision tools. 💜
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Nov 12, 2026 - Python
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We write your reusable computer vision tools. 💜
python tracking machine-learning computer-vision deep-learning metrics tensorflow image-processing pytorch video-processing yolo classification coco object-detection hacktoberfest pascal-voc low-code instance-segmentation oriented-bounding-box
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
python machine-learning computer-vision deep-learning satellite tiling pytorch remote-sensing coco object-detection hacktoberfest instance-segmentation explainable-ai large-image oriented-object-detection huggingface small-object-detection fiftyone open-vocabulary-detection yolo26
Tensorflow Faster RCNN for Object Detection
Mask RCNN in TensorFlow
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
machine-learning computer-vision deep-learning image-annotation label detection coco datasets image-segmentation image-labeling annotate-images coco-format coco-annotator
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
transformer coco image-segmentation semantic-segmentation cityscapes instance-segmentation ade20k panoptic-segmentation universal-segmentation oneformer
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆28 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
nlp natural-language-processing text-classification glue pytorch transformer imagenet image-classification coco object-detection semantic-segmentation knowledge-distillation cifar10 pascal-voc cifar100 google-colab colab-notebook amazon-sagemaker-lab causal-language-modeling pytorch-ecosystem
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
demo computer-vision detection pytorch nms coco object-detection pascal-voc multibox focalloss efficientnet efficientdet-d0
Real-time and accurate open-vocabulary end-to-end object detection
real-time computer-vision coco object-detection zero-shot vision-and-language lvis zero-shot-object-detection open-vocabulary
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
json legacy yolo coco object-detection labelme vott annotation-conversion labelbox ultralytics dataset-conversion
To speedup and simplify image labeling/ annotation process with multiple supported formats.
fast machine-learning label coco dlib annotator facepp pascal-voc landmark label-images faceplusplus tenserflow imglab landmark-points nimn
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
deep-learning backbone image-classification coco object-detection semantic-segmentation visual-recognition ade20k self-attention image-net pre-trained-model vision-transformer foundation-models
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
Helper functions to create COCO datasets
Visual Question Answering in Pytorch
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
pytorch coco eval ccnet cityscapes mobilenet xception deeplabv3plus deeplab-v3-plus fast-scnn hrnet pointrend
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