YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Sep 4, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab Detection Toolbox and Benchmark
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
deep learning for image processing including classification and object-detection etc.
We write your reusable computer vision tools. 💜
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
A paper list of object detection using deep learning.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
The open-source tool for building high-quality datasets and computer vision models
Fast and Accurate ML in 3 Lines of Code
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Gluon CV Toolkit
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