Recycling Try 2 Dataset
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2023-11-15 6:33pm
v16
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2023-11-15 6:31pm
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2023-11-15 4:14pm
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2023-11-15 1:37pm
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2023-11-15 3:02am
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2023-11-14 8:52pm
v10
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2023-11-14 8:50pm
v9
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2023-11-14 8:49pm
v8
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Nov 11-11 72-19-10
v7
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2023-11-11 10:56pm
v6
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2023-11-07 10:31pm
v5
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2023-11-07 10:27pm
v4
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2023-11-07 10:24pm
v3
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v2
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2023-11-07 6:54pm
v1
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v14
2023-11-15 4:14pm
Generated on Nov 16, 2023
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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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3028 Total Images
View All Images
Dataset Split
Train Set 73%
2211Images
Valid Set 19%
570Images
Test Set 8%
247Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1920x1080
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 3.5px
Noise: Up to 7% of pixels