Model: S1M0N38/chess-cv
Author: S1M0N38
Pipeline: image-classification
Library: mlx
Tags: mlx, computer-vision, image-classification, chess, cnn, lightweight, dataset:synthetic-chess-squares, license:mit, model-index, region:us
Card metadata: license: mit
library_name: mlx
tags: computer-vision, image-classification, chess, cnn, lightweight
datasets: synthetic-chess-squares
model-index: name: chess-cv
results: task: type: image-classification
name: Image Classification
dataset: name: Chess CV Test Dataset
type: chess-cv-test
metrics: type: accuracy
value: 0.999
name: Accuracy
verified: no, type: f1
value: 0.999
name: F1 Score (Macro)
verified: no, task: type: image-classification
name: Image Classification
dataset: name: Chess CV OpenBoard Dataset
type: chess-cv-openboard
metrics: type: accuracy
value: 0.993
name: Accuracy
verified: no, type: f1
value: 0.9856
name: F1 Score (Macro)
verified: no, task: type: image-classification
name: Image Classification
dataset: name: Chess CV ChessVision Dataset
type: chess-cv-chessvision
metrics: type: accuracy
value: 0.9313
name: Accuracy
verified: no, type: f1
value: 0.9228
name: F1 Score (Macro)
verified: no, name: chess-cv-arrows
results: task: type: image-classification
name: Image Classification
dataset: name: Chess CV Arrows Test Dataset
type: chess-cv-arrows-test
metrics: type: accuracy
value: 0.9999
name: Accuracy
verified: no, type: f1
value: 0.9999
name: F1 Score (Macro)
verified: no, name: chess-cv-snap
results: task: type: image-classification
name: Image Classification
dataset: name: Chess CV Snap Test Dataset
type: chess-cv-snap-test
metrics: type: accuracy
value: 0.9993
name: Accuracy
verified: no, type: f1
value: 0.9993
name: F1 Score (Macro)
verified: no
pipeline_tag: image-classification
Likes: 0 | All-time downloads: 220
Created: 2025-10-05 18:02:43