meter reading Dataset
Versions
2023-04-12 5:42pm
v14
· a year ago
2023-04-09 2:04pm
v13
· a year ago
2023-03-30 1:11am
v8
· a year ago
2023-03-30 1:06am
v7
· a year ago
2023-03-30 1:02am
v6
· a year ago
2023-03-30 12:36am
v4
· a year ago
2023-03-28 4:32am
v3
· a year ago
2023-03-23 12:43pm
v2
· a year ago
2023-03-15 12:54pm
v1
· 2 years ago
v2
2023-03-23 12:43pm
Generated on Mar 23, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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543 Total Images
View All Images
Dataset Split
Train Set 87%
474Images
Valid Set 8%
44Images
Test Set 5%
25Images
Preprocessing
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -9% and +9%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 5% of pixels