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honi05/
chess-piece-yolo

Name: chess-piece-yolo
Availability: InStock

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Chess Piece Detectors (YOLOv8 — pico / n / s)

Three YOLOv8 detectors trained on cell-box annotations derived from the synthetic koryakinp/chess-positions dataset (12 piece classes). Companion to the custom CNN classifier at honi05/chess-piece-cnn.

Variant	Origin	Params	mAP@50-95	Occupied-cell acc	Latency ms/board	Disk MB
`yolo_pico/best.pt`	scaled YAML, from scratch	184,300	0.255	0.2073	5.49	0.57
`yolov8n/best.pt`	pretrained	2,692,548	0.995	1.0000	4.35	5.59
`yolov8s/best.pt`	pretrained	9,843,604	0.995	1.0000	6.07	19.92

Classes (0-11): wP, wN, wB, wR, wQ, wK, bP, bN, bB, bR, bQ, bK

Usage

python

from huggingface_hub import hf_hub_download
from ultralytics import YOLO
w = hf_hub_download("honi05/chess-piece-yolo", "yolov8n/best.pt")
model = YOLO(w)
results = model("board.jpg")

See the full report in the code repo github.com/Honi05/cvproject.