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eggplant-and-weeds-detection/3 (latest)
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Eggplant and Weeds Detection
Object Detection
Overview
Images
1008
Dataset
12
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
Augmented 3x -4 AGS - Reduced 1k - 320x320
v12
·
a year ago
Augmented 3x - Reduced 1k - 320x320
v11
·
a year ago
Raw - Reduced 1k - 320x320
v10
·
a year ago
Raw - Reduced 1k - 224x224
v9
·
a year ago
Augmented - Reduced 1k - 640x640
v8
·
a year ago
Raw - Reduced 1k - 640x640
v7
·
a year ago
Augmented - 1k - 640x640
v6
·
a year ago
Raw - 1k - 640x640
v5
·
a year ago
Raw - 320 x 320
v4
·
a year ago
Raw - 224 x 224
v3
·
a year ago
2nd Version - Augmented - 640x640
v2
·
a year ago
1st Version - Normal - 640x640
v1
·
a year ago
v6
Augmented - 1k - 640x640
Generated on Apr 1, 2024
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YOLOv8
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YOLOv5
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YOLOv7
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COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
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Darknet TXT annotations
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YOLO Darknet
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YOLOv3 PyTorch
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Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
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TFRecord binary format
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PaliGemma
PaliGemma JSONL format
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2662
Total Images
View All Images
Dataset Split
Train Set
92%
2455
Images
Valid Set
4%
104
Images
Test Set
4%
103
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit (black edges) in 640x640
Augmentations
Outputs per training example:
3
Rotation:
Between -15° and +15°
Brightness:
Between -25% and +0%
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