Wanna know what your model sees? Here's a package for applying EigenCAM on the new YOLO V8 model

An autonomous drone to follow a person, using the OAK-D Lite and MAVLink

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

[ICCV 2019] Monocular depth estimation from a single image

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

TensorFlow Lite for Microcontrollers

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

A course in reinforcement learning in the wild