Dataset Versions
Versions
2023-07-08 11:38am
v37
· a year ago
2023-07-08 11:38am
v36
· a year ago
2023-07-08 11:38am
v35
· a year ago
2023-07-08 11:38am
v34
· a year ago
2023-07-08 11:38am
v33
· a year ago
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v32
· a year ago
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v31
· a year ago
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v30
· a year ago
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v29
· a year ago
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v28
· a year ago
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v27
· a year ago
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v26
· a year ago
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v25
· a year ago
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v24
· a year ago
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v23
· a year ago
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v22
· a year ago
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v21
· a year ago
2023-07-08 11:38am
v20
· a year ago
2023-07-08 11:38am
v19
· a year ago
2023-07-08 11:38am
v18
· a year ago
2023-07-08 11:37am
v17
· a year ago
2023-07-08 11:37am
v16
· a year ago
2023-07-08 11:37am
v15
· a year ago
2023-07-08 11:37am
v14
· a year ago
2023-07-08 11:37am
v13
· a year ago
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v12
· a year ago
2023-07-08 11:37am
v11
· a year ago
2023-07-08 11:37am
v10
· a year ago
2023-07-08 11:37am
v9
· a year ago
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v8
· a year ago
2023-07-08 11:37am
v7
· a year ago
2023-07-08 11:37am
v6
· a year ago
2023-07-08 11:37am
v5
· a year ago
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v4
· a year ago
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v3
· a year ago
2023-07-08 11:37am
v2
· a year ago
2023-07-08 11:32am
v1
· a year ago
v16
2023-07-08 11:37am
Generated on Jul 8, 2023
Popular Download Formats
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.
Other Formats
Choose another format.
930 Total Images
View All ImagesDataset Split
Train Set 90%
837Images
Valid Set %
0Images
Test Set 10%
93Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.