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fruit-detection-and-classification/1
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Fruit Detection and Classification
Object Detection
Overview
Images
1689
Dataset
2
Model
2
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-05-07 11:09am
v2
·
2 years ago
2023-05-06 11:00pm
v1
·
2 years ago
v1
2023-05-06 11:00pm
Generated on May 6, 2023
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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
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4055
Total Images
View All Images
Dataset Split
Train Set
88%
3549
Images
Valid Set
8%
337
Images
Test Set
4%
169
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 480x270
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Flip:
Horizontal, Vertical
Bounding Box: Blur:
Up to 2px
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