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Consumption Meter Plate
Object Detection
Overview
Images
1256
Dataset
22
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-08-11 12:15pm
v25
·
a year ago
2023-08-11 12:14pm
v24
·
a year ago
2023-08-11 12:12pm
v23
·
a year ago
2023-08-11 12:09pm
v22
·
a year ago
2023-08-11 12:09pm
v21
·
a year ago
2023-08-11 12:06pm
v20
·
a year ago
2023-08-11 10:41am
v19
·
a year ago
2023-08-01 11:28am
v17
·
a year ago
2023-08-01 10:19am
v16
·
a year ago
2023-08-01 10:18am
v15
·
a year ago
2023-07-31 3:47pm
v14
·
a year ago
2023-07-31 3:45pm
v13
·
a year ago
2023-07-13 1:52pm
v11
·
2 years ago
2023-07-13 1:45pm
v10
·
2 years ago
2023-07-13 1:45pm
v9
·
2 years ago
2023-07-13 12:40pm
v7
·
2 years ago
2023-07-13 12:28pm
v6
·
2 years ago
2023-07-12 8:11am
v5
·
2 years ago
2023-07-06 9:01am
v4
·
2 years ago
2023-06-28 12:24pm
v3
·
2 years ago
2023-06-22 11:28am
v2
·
2 years ago
2023-06-22 11:24am
v1
·
2 years ago
v1
2023-06-22 11:24am
Generated on Jun 22, 2023
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Dataset
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YOLOv5
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TXT annotations and YAML config
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YOLOv3 PyTorch
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Pascal VOC XML
Common
XML annotation format
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TFRecord binary format
used for both
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PaliGemma JSONL format
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121
Total Images
View All Images
Dataset Split
Train Set
87%
105
Images
Valid Set
8%
10
Images
Test Set
5%
6
Images
Preprocessing
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Rotation:
Between -2° and +2°
Saturation:
Between -15% and +15%
Brightness:
Between -25% and +0%
Exposure:
Between -10% and +10%
Noise:
Up to 1% of pixels
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