Image augmentation for machine learning experiments.
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Updated
Jul 30, 2024 - Python
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Image augmentation for machine learning experiments.
machine-learning deep-learning images heatmap crop contrast polygon keypoints affine-transformation bounding-boxes image-augmentation augmentation segmentation-maps augment-images
Most popular metrics used to evaluate object detection algorithms.
metrics object-detection bounding-boxes pascal-voc mean-average-precision precision-recall average-precision
📽 Highly Optimized 2D / 3D Graphics Math (glm) for C
c euler opengl math neon vector matrix bezier wasm avx sse simd affine-transform-matrices opengl-math 3d bounding-boxes matrix-decompositions frustum 3d-math marix-inverse
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
metrics object-detection bounding-boxes pascal-voc mean-average-precision coco-dataset precision-recall average-precision coco-api pacal-voc-ap pascal-metrics
HAnd Gesture Recognition Image Dataset
computer-vision deep-learning dataset image-classification bounding-boxes gesture-recognition hands gestures-classification
Label images and video for Computer Vision applications
opencv gui yolo object-detection darknet bounding-boxes pascal-voc training-yolo labeling-tool darkflow
A lightweight tool for labeling 3D bounding boxes in point clouds.
machine-learning computer-vision annotation tool labeling point-clouds bounding-boxes 3d-object-detection 6d-pose-estimation
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
machine-learning ocr deep-learning bounding-boxes anpr alpr plate-detection license-plate-recognition number-plate-recognition
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
machine-learning computer-vision image-annotation machine-vision bounding-boxes annotation-tool annotation-framework polygon-annotations annotation-process
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
tracking computer-vision detection keras object-detection kalman-filtering bounding-boxes bayesian-filter hungarian-algorithm occlusion linear-assignment-problem single-shot-multibox-detector mobilenet-ssd tensorflow-object-detection-api
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
Create image annotations. Classify, tag images with polygons, bounding boxes or points.
Make drawing and labeling bounding boxes a piece of cake
computer-vision deep-learning image-annotation annotation cv annotations object-detection labeling object-recognition bounding-boxes boundingbox image-labeling computer-vision-tools bounding-box image-labeling-tool data-labeling bboxes
Vehicle detection using YOLO in Keras runs at 21FPS
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
Weakly Supervised Learning for Findings Detection in Medical Images
deep-learning pytorch medical-imaging densenet chest-xray-images bounding-boxes weakly-supervised-learning nih chestxray14 chexnet chest-x-ray8
Ybat - YOLO BBox Annotation Tool
yolo annotator bounding-boxes annotation-tool bbox yolo-9000 yolov2 yolo-bbox-annotation yolo-format
This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.
api docker dockerfile computer-vision deep-learning neural-network gpu rest-api inference yolo deeplearning inference-server bounding-boxes no-code yolov3 alexeyab-darknet yolo-gui detection-inference-api inference-gui yolov4
Build a CNN network to predict 3D bounding box of car from 2D image.
deep-learning regression self-driving-car convolutional-neural-networks cnn-keras bounding-boxes kitti-dataset
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
visualization python machine-learning deep-learning tensorflow image-processing pytorch image-classification image-dataset object-detection hacktoberfest bounding-boxes model-interpretation model-deployment model-serving model-visualization gradcam mlops fastapi
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