waste Image Dataset
Versions
Hue2.5K
v20
Mar 5, 2023
Brightness2-5K
v19
Mar 5, 2023
Vertical
v18
Mar 5, 2023
Hue
v17
Mar 5, 2023
Brightness
v16
Mar 5, 2023
Clockwise
v15
Mar 5, 2023
flip
v14
Mar 5, 2023
2023-03-05 11:21am
v12
Mar 5, 2023
Vertical
v9
Mar 2, 2023
HUE
v8
Mar 2, 2023
Brightness
v7
Mar 2, 2023
Clockwise
v6
Mar 2, 2023
horizontal flip
v4
Mar 2, 2023
2023-03-02 8:34pm
v3
Mar 2, 2023
2023-03-02 12:07am
v2
Mar 1, 2023
2023-02-28 8:39pm
v1
Feb 28, 2023
v3
2023-03-02 8:34pm
Generated on Mar 2, 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.
Other Formats
Choose another format.
6219 Total Images
View All Images
Dataset Split
Train Set 87%
5441Images
Valid Set 8%
520Images
Test Set 4%
258Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise
Hue: Between -25° and +25°
Brightness: Between 0% and +25%
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