brunobelloni / binary-to-coco-json-converter
Convert segmentation binary mask images to COCO JSON format.
☆32Updated 2 years ago
Alternatives and similar repositories for binary-to-coco-json-converter:
Users that are interested in binary-to-coco-json-converter are comparing it to the libraries listed below
- Convert segmentation RGB mask images to COCO JSON format☆202Updated last year
- A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COC…☆192Updated 2 weeks ago
- Minimalistic COCO Dataset Viewer in Tkinter☆188Updated 10 months ago
- yolov7 train on custom data☆23Updated 2 years ago
- YOLOv8 implementation using PyTorch☆136Updated last year
- merging coco files☆41Updated 2 years ago
- Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.☆115Updated 2 years ago
- Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different form…☆333Updated 7 months ago
- A lightweight package for converting your labelme annotations into COCO object detection format.☆296Updated 10 months ago
- YOLOv7 segmentation pytorch implementation guide☆40Updated 2 years ago
- Tile (Slice) YOLO Dataset for Small Objects Detection☆78Updated last year
- Convert LabelMe Annotation Tool JSON format to YOLO text file format☆56Updated 2 years ago
- Train a Mask R-CNN model with the Tensorflow Object Detection API☆78Updated 3 years ago
- End-to-End Object Detection with Transformers☆51Updated 7 months ago
- A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the m…☆116Updated last year
- Cut and paste augmentation for object detection and instance segmentation☆138Updated 3 years ago
- Wanna know what your model sees? Here's a package for applying EigenCAM and generating heatmap from the new YOLO V11 model