Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
-
Updated
Jun 11, 2020 - HTML
ImageNet is a large-scale visual database of labeled images organized according to the WordNet hierarchy. It has been a foundational benchmark for evaluating image classification and object recognition models in computer vision.
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
AI Assisted Image and Video Training Data Labeling @ Scale
Grad-CAM implementation in TensorFlow JS.
A desktop graphical tool for labelling image training data for object detection and other machine learning uses. Bounding boxes can be saved in ImageNet Pascal VOC (XML), JSON and CSV formats. Scripts are provided to convert the output to TensorFlow TFRecords for use with the object detection API.
Use d3.js to build visualizations of Big Datasets
Full-stack CNN visualization tool. Upload any image → MobileNetV2 classifies it → watch the forward pass animate through 9 layers in real time. Flask + TensorFlow + Canvas.
Classifying images of Dogs by Breed
A PyTorch Neural Network for Multiclass Flower Classification
a utility for generating VOC image annotations
Analyze automated traffic instantly using a browser-based HTML tool for quick bot detection and live status verification.