rotsl
/

cfucount-repo

Object Detection

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CFU Colony Object Detection Models

PyTorch object detection model artifacts trained to detect CFU colonies on Petri dishes.

Training Summary

Total training images: 714
Task: object detection for CFU colonies on Petri dishes
Source tooling:
- Roboflow 3.0 Object Detection (Fast)
- Roboflow RF-DETR Object Detection (Small)

Files

cfucount-rf-detr-small.pt: RF-DETR Object Detection (Small) model artifact
cfucount-roboflow-3-fast.pt: Roboflow 3.0 Object Detection (Fast) model artifact
requirements.txt: minimal runtime dependencies

Usage

import torch

model_rfdetr = torch.load("cfucount-rf-detr-small.pt", map_location="cpu")
model_rfdetr.eval()

model_rf3 = torch.load("cfucount-roboflow-3-fast.pt", map_location="cpu")
model_rf3.eval()

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