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fruits-detection-lsz99/3 (latest)
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Fruits detection
Object Detection
Overview
Images
4571
Dataset
4
Model
3
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-01-27 12:48pm
v4
·
2 years ago
2023-01-26 11:31pm
v3
·
2 years ago
2023-01-26 11:08pm
v2
·
2 years ago
2023-01-16 4:50pm
v1
·
2 years ago
v3
2023-01-26 11:31pm
Generated on Jan 26, 2023
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Dataset
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YOLOv5
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YOLOv7
TXT annotations and YAML config
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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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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 JSONL format
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10971
Total Images
View All Images
Dataset Split
Train Set
88%
9600
Images
Valid Set
8%
914
Images
Test Set
4%
457
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Shear:
±15° Horizontal, ±15° Vertical
Grayscale:
Apply to 25% of images
Mosaic:
Applied
Bounding Box: Flip:
Horizontal
Bounding Box: Exposure:
Between -25% and +25%
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