Recycling Try 2 Image Dataset
Versions
2023-11-15 6:33pm
v16
Nov 16, 2023
2023-11-15 6:31pm
v15
Nov 16, 2023
2023-11-15 4:14pm
v14
Nov 16, 2023
2023-11-15 1:37pm
v13
Nov 15, 2023
2023-11-15 3:02am
v12
Nov 15, 2023
2023-11-15 3:01am
v11
Nov 15, 2023
2023-11-14 8:52pm
v10
Nov 15, 2023
2023-11-14 8:50pm
v9
Nov 15, 2023
2023-11-14 8:49pm
v8
Nov 15, 2023
Nov 11-11 72-19-10
v7
Nov 12, 2023
2023-11-11 10:56pm
v6
Nov 12, 2023
2023-11-07 10:31pm
v5
Nov 8, 2023
2023-11-07 10:27pm
v4
Nov 8, 2023
2023-11-07 10:24pm
v3
Nov 8, 2023
2023-11-07 10:18pm
v2
Nov 8, 2023
2023-11-07 6:54pm
v1
Nov 8, 2023
v7
Nov 11-11 72-19-10
Generated on Nov 12, 2023
Popular Download Formats
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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2321 Total Images
View All Images
Dataset Split
Train Set 72%
1665Images
Valid Set 19%
430Images
Test Set 10%
226Images
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
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