akashAD98/yolov7_custom_data_trainig
yolov7 train on custom data
This project helps machine learning engineers and researchers train a YOLOv7 object detection model using their own specific image datasets. You provide a collection of images and their corresponding object labels, and the project outputs a trained model capable of identifying those objects in new images or video streams. It's designed for individuals creating custom computer vision applications.
No commits in the last 6 months.
Use this if you need to build a custom object detection system for a specific set of items or scenarios not covered by off-the-shelf models.
Not ideal if you are looking for a pre-trained model for common objects or if you don't have labeled image data for your custom objects.
Stars
22
Forks
7
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 01, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/akashAD98/yolov7_custom_data_trainig"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
mindspore-lab/mindyolo
A toolbox of yolo models and algorithms based on MindSpore
ultralytics/assets
Ultralytics assets
stephanecharette/DarkHelp
C++ wrapper library for Darknet