teresakae/TugasFruitDetector
An object detection project using Python, Ultralytics, and the YOLOv8n model to identify apples, bananas, and oranges. Trained using Google Colab and a Roboflow dataset.
21
/ 100
Experimental
No License
No Package
No Dependents
Maintenance
6 / 25
Adoption
2 / 25
Maturity
1 / 25
Community
12 / 25
Stars
2
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/teresakae/TugasFruitDetector"
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
71
ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
71
mindspore-lab/mindyolo
A toolbox of yolo models and algorithms based on MindSpore
67
ultralytics/assets
Ultralytics assets
61
stephanecharette/DarkHelp
C++ wrapper library for Darknet
54