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trash_detection-viuxq/1 (latest)
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trash_detection
Object Detection
Overview
Images
862
Dataset
2
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2022-09-20 7:25pm
v2
·
3 years ago
2022-09-18 3:13pm
v1
·
3 years ago
v1
2022-09-18 3:13pm
Generated on Sep 18, 2022
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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
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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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2070
Total Images
View All Images
Dataset Split
Train Set
88%
1812
Images
Valid Set
8%
172
Images
Test Set
4%
86
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 256x256
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
Rotation:
Between -20° and +20°
Noise:
Up to 2% of pixels
Bounding Box: Flip:
Horizontal, Vertical
Bounding Box: Rotation:
Between -20° and +20°
Bounding Box: Noise:
Up to 2% of pixels
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