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Open-weight model · Object detection

yolov8m-table-extraction

by Kerem keremberke/yolov8m-table-extraction

Parameters—
Context—
Weights52.0 MB
Licenseagpl-3.0
AccessOpen weights
Monthly Downloads71.8k

Model Card

By Kerem, published under agpl-3.0, revision 8826513612ac.

Read Kerem's full model card

Supported Labels

['bordered', 'borderless']

How to use

pip install ultralyticsplus==0.0.23 ultralytics==8.0.21
  • Load model and perform prediction:
from ultralyticsplus import YOLO, render_result

# load model
model = YOLO('keremberke/yolov8m-table-extraction')

# set model parameters
model.overrides['conf'] = 0.25  # NMS confidence threshold
model.overrides['iou'] = 0.45  # NMS IoU threshold
model.overrides['agnostic_nms'] = False  # NMS class-agnostic
model.overrides['max_det'] = 1000  # maximum number of detections per image

# set image
image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'

# perform inference
results = model.predict(image)

# observe results
print(results[0].boxes)
render = render_result(model=model, image=image, result=results[0])
render.show()

More models available at: awesome-yolov8-models

Configuration

Model type
v8

Identity and Version

Repository
keremberke/yolov8m-table-extraction
Publisher
Kerem
Task
Object detection
Modality
Image
Library
ultralytics
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
8826513612acc2a220d9c6a5acd933e21c1390e9
First published
2023-01-29
Last updated
2024-05-23

Files and Weights

6 files, 52.5 MB in total. The weights are 1 file totalling 52.0 MB in pt.

Weights1 file · 52.0 MB
Configuration1 file · 161 B
Documentation1 file · 1.7 KB
Other2 files · 465.4 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
best.ptWeights52.0 MB 93b9ab71462a
config.jsonConfiguration161 B —
README.mdDocumentation1.7 KB —
events.out.tfevents.1674965488.ovyeman.33996.9Other40 B 486c992dd2a5
thumbnail.jpgOther465.4 KB —
.gitattributesRepository1.5 KB —

License and Download

License
agpl-3.0
Access
Open weights, no gate
Download size
52.0 MB
Download from Kerem

Released by Kerem through its official repository on Hugging Face. Read the license.

Built From

  • Trained on (disclosed) keremberke/table-extraction

Evaluations

Each result is shown as reported, with the conditions its reporter stated. None is a SAVRN measurement. A comparison lines two results up only when their configuration, unit and setup are all stated and identical.

BenchmarkConditionsResultReported byRevisionDate
table-extraction Task object-detectionMetric [email protected](box)Comparison conditions not established 0.95194 keremberke
Publisher reported		 Evaluated revision not stated —

Memory Requirements

PrecisionWeights in memory
As published52.0 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About yolov8m-table-extraction

Can I use yolov8m-table-extraction commercially?

Yes, with conditions. yolov8m-table-extraction is released under GNU Affero General Public License 3.0. The AGPL 3.0 is a strong copyleft license. Commercial use is allowed, but a modified version made available to users over a network must be released with its source code under the same license.

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