Models
Phi-3.5 vs. YOLOX

Phi-3.5 vs. YOLOX

Both Phi-3.5 and YOLOX are commonly used in computer vision projects. Below, we compare and contrast Phi-3.5 and YOLOX.

Models

icon-model

YOLOX

YOLOX is a high-performance object detection model.
Model Type
Multimodal Model
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
CNN, YOLO
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
8.9k+
--
License
--
Apache-2.0
--
Training Notebook

Compare Phi-3.5 and YOLOX with Autodistill

Compare Phi-3.5 vs. YOLOX

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.