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Veggies and Fruits Balanced
Object Detection
Overview
Images
7255
Dataset
1
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2022-09-25 10:17pm
v1
·
2 years ago
v1
2022-09-25 10:17pm
Generated on Sep 26, 2022
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Dataset
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YOLOv11
TXT annotations and YAML config
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YOLOv11
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YOLOv9
TXT annotations and YAML config
used with
YOLOv9
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
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YOLOv7
TXT annotations and YAML config
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YOLOv7
.
COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
.
YOLO Darknet
Darknet TXT annotations
used with
YOLO Darknet
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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
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Tensorflow 2.0 Object Detection
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PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format
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7255
Total Images
View All Images
Dataset Split
Train Set
90%
6547
Images
Valid Set
6%
440
Images
Test Set
4%
268
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit (black edges) in 416x416
Augmentations
No augmentations were applied.
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