Recycling Try 2 Dataset
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2023-11-15 6:33pm
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2023-11-15 4:14pm
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2023-11-14 8:52pm
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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
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2023-11-11 10:56pm
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2023-11-07 10:31pm
v5
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2023-11-07 10:27pm
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2023-11-07 6:54pm
v1
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v8
2023-11-14 8:49pm
Generated on Nov 15, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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4947 Total Images
View All Images
Dataset Split
Train Set 81%
3990Images
Valid Set 13%
642Images
Test Set 6%
315Images
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