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mango-leaf-disease-detection-xggb3/5 (latest)
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Mango Leaf Disease Detection
Object Detection
Overview
Images
150
Dataset
4
Model
3
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
using YOLOv8
v5
·
8 months ago
2024-07-15 6:11am
v4
·
8 months ago
2024-07-14 2:54pm
v2
·
8 months ago
2024-07-14 1:13pm
v1
·
8 months ago
v5
using YOLOv8
Generated on Jul 15, 2024
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Dataset
Popular Download Formats
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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360
Total Images
View All Images
Dataset Split
Train Set
88%
315
Images
Valid Set
8%
30
Images
Test Set
4%
15
Images
Preprocessing
Auto-Orient:
Applied
Static Crop:
25-75% Horizontal Region, 25-75% Vertical Region
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Rotation:
Between -15° and +15°
Shear:
±10° Horizontal, ±10° Vertical
Brightness:
Between -17% and +17%
Exposure:
Between -10% and +10%
Blur:
Up to 2.5px
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