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pickable-and-unpickable-pallet-detection/9 (latest)
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Pickable and Unpickable Pallet detection
Object Detection
Overview
Images
4809
Dataset
2
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2023-06-08 3:52pm
v10
·
2 years ago
2023-06-08 3:50pm
v9
·
2 years ago
v10
2023-06-08 3:52pm
Generated on Jun 8, 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
is used with Apple's CreateML and Turi Create tools.
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8885
Total Images
View All Images
Dataset Split
Train Set
92%
8152
Images
Valid Set
6%
543
Images
Test Set
2%
190
Images
Preprocessing
Grayscale:
Applied
Augmentations
Outputs per training example:
2
Grayscale:
Apply to 25% of images
Saturation:
Between -25% and +25%
Blur:
Up to 2.5px
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