SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
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Updated
Nov 11, 2023 - Python
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Deep Learning Computer Vision Algorithms for Real-World Use
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Make drawing and labeling bounding boxes easy as cake
High level python script that looks at a folder of video files and tells you which files contain people.
A collection of SOTA Image Classification Models in PyTorch
CORe50: a new Dataset and Benchmark for Continual Learning
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
Vehicle make and model classification in Tensorflow by fine-tuning VGG16
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
Recognize faces and objects in the video based on Milvus.
A multi-purpose camera system focused on offline license plate and object recognition
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition (CVIU 2022)
Tracking and Trajectory Prediction
Recognition of multi-objects from images and real time web camera
Fiji plugin for object(s) detection using template(s) matching
Object Recognition with Scalable Vocabulary Tree
A simple image-based object detection tensorflow app in Python
code and link to the dataset for Kenyan Food detection paper accepted as a paper in MADiMA 2019 Workshop as part of ACM MM 2019 conference.
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