ultralytics
TensorBoard
color
color-checker
color-checker-detection
color-science
color-space
color-spaces
colorspace
colorspaces
colour
colour-checker
colour-checker-detection
colour-science
colour-space
colour-spaces
colourspace
colourspaces
image
model
models
segmentation
yolo
Eval Results (legacy)
Instructions to use colour-science/colour-checker-detection-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use colour-science/colour-checker-detection-models with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("colour-science/colour-checker-detection-models", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from colour-science/colour-checker-detection-models: direct link, hf CLI and curl.
- Browser
- Download file 2.56 kB
-
https://huggingface.co/colour-science/colour-checker-detection-models/resolve/main/README.md
- Command line
-
hf download hf://colour-science/colour-checker-detection-models/README.md
-
curl -L -o README.md https://huggingface.co/colour-science/colour-checker-detection-models/resolve/main/README.md
2.56 kB
metadata
datasets:
- colour-science/colour-checker-detection-dataset
license: cc-by-4.0
library_name: ultralytics
library_version: 8.0.232
model-index:
- name: colour-science/colour-checker-detection-models
results:
- task:
type: object-detection
dataset:
type: colour-science/colour-checker-detection-dataset
name: colour-science/colour-checker-detection-dataset
metrics:
- type: precision
value: 0.995
name: [email protected]
pretty_name: Colour - Checker Detection - Models
tags:
- color
- color-checker
- color-checker-detection
- color-science
- color-space
- color-spaces
- colorspace
- colorspaces
- colour
- colour-checker
- colour-checker-detection
- colour-science
- colour-space
- colour-spaces
- colourspace
- colourspaces
- image
- model
- models
- segmentation
- yolo
task_categories:
- object-detection
Colour - Checker Detection - Models
Various YOLOv8 colour rendition charts detection models.
The models obtained by training YOLOv8 segmentation with the colour-science/colour-checker-detection-model dataset are supporting colour rendition charts detection in the Colour Checker Detection Python package.
Classes
- ColorCheckerClassic24: Calibrite / X-Rite ColorCheckerClassic 24
Models
| Name | Size | mAP50 | mAP50-95 |
|---|---|---|---|
| colour-checker-detection-l-seg.pt | 92.6 MB | 0.995 | 0.992 |
Contact & Social
The Colour Developers can be reached via different means:
About
Colour - Checker Detection - Models by Colour Developers
Copyright 2024 Colour Developers – mailto:[email protected]
This software is released under terms of CC-BY-4.0: https://creativecommons.org/licenses/by/4.0/
https://huggingface.co/colour-science/colour-checker-detection-models