🔧 Deep Learning toolbox

📚 Datasets search

1. Kaggle

2. Google Datasets Search Engine

3. Microsoft Datasets

4. Computer Vision Datasets

5. Github awesomedata

6. UCI Machine Learning Repository.

7. Amazon Datasets

8. Government Datasets: EU US NZL IND

🔍 Visualizing neural network architectures

1. Netron: now supports ONNX, Keras, CoreML, Caffe2, Mxnet, Pytorch and Tensorflow.
2. Netscope: or GraphViz: Caffe
3. TensorBoard: Tensorflow
4. Graphviz: Pytorch
5. mxnet.viz: mxnet
6. model.summary(): keras

🏷 Lable Tool

1. CVAT:Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

2. Labelme: Image Polygonal Annotation with Python

3. LabelImg：LabelImg is a graphical image annotation tool and label object bounding boxes in images
4. Yolo_mark:GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
5. Sloth:Sloth is a tool for labeling image and video data for computer vision research.
6. Vatic: vatic is a free, online, interactive video annotation tool for computer vision research that crowdsources work to Amazon’s Mechanical Turk.
7. VoTT:Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
8. Polygon-RNN++: Polygon-RNN++ allows you to train new Polygon-RNN++ models, and run our demo tool on local machines.