'mug object detection' Image Dataset
Versions
2023-03-27 10:40am
v9
Mar 27, 2023
2023-03-21 4:09pm
v8
Mar 21, 2023
2023-03-21 2:18pm
v7
Mar 21, 2023
2023-03-21 2:16pm
v6
Mar 21, 2023
2023-03-21 2:16pm
v5
Mar 21, 2023
2023-03-21 1:25pm
v4
Mar 21, 2023
2023-03-21 12:16pm
v3
Mar 21, 2023
2023-03-21 9:53am
v2
Mar 21, 2023
2023-03-21 1:39am
v1
Mar 20, 2023
v5
2023-03-21 2:16pm
Generated on Mar 21, 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.
316 Total Images
View All ImagesDataset Split
Train Set 92%
291Images
Valid Set 4%
13Images
Test Set 4%
12Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Cutout: 5 boxes with 15% size each
Mosaic: Applied
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