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rice-disease-object/5 (latest)
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Rice Disease object
Object Detection
Overview
Images
5952
Dataset
4
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-11-26 9:57am
v6
·
3 months ago
2024-10-08 6:34am
v5
·
5 months ago
2024-08-26 9:01am
v4
·
6 months ago
2024-08-26 8:49am
v3
·
6 months ago
v4
2024-08-26 9:01am
Generated on Aug 26, 2024
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
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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11980
Total Images
View All Images
Dataset Split
Train Set
87%
10479
Images
Valid Set
8%
1001
Images
Test Set
4%
500
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise
Rotation:
Between -45° and +45°
Saturation:
Between -30% and +30%
Brightness:
Between 0% and +25%
Exposure:
Between -10% and +10%
Blur:
Up to 2px
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