Dataset Versions
Versions
2024-01-18 4:51pm
v75
· 10 months ago
2024-01-18 4:51pm
v74
· 10 months ago
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v73
· 10 months ago
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v72
· 10 months ago
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v71
· 10 months ago
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v70
· 10 months ago
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v69
· 10 months ago
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v68
· 10 months ago
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v67
· 10 months ago
2024-01-18 4:51pm
v66
· 10 months ago
2024-01-18 4:51pm
v65
· 10 months ago
2024-01-18 4:51pm
v64
· 10 months ago
2024-01-18 4:51pm
v63
· 10 months ago
2024-01-18 4:51pm
v62
· 10 months ago
2024-01-18 4:51pm
v61
· 10 months ago
2024-01-18 4:51pm
v60
· 10 months ago
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v59
· 10 months ago
2024-01-18 4:51pm
v58
· 10 months ago
2024-01-18 4:51pm
v57
· 10 months ago
2024-01-18 4:51pm
v56
· 10 months ago
2024-01-18 4:51pm
v55
· 10 months ago
2024-01-18 4:51pm
v54
· 10 months ago
2024-01-18 4:51pm
v53
· 10 months ago
2024-01-18 4:51pm
v52
· 10 months ago
2024-01-18 4:51pm
v51
· 10 months ago
2024-01-18 4:51pm
v50
· 10 months ago
2024-01-18 4:51pm
v49
· 10 months ago
2024-01-18 4:51pm
v48
· 10 months ago
2024-01-18 4:51pm
v47
· 10 months ago
2024-01-18 4:51pm
v46
· 10 months ago
2024-01-18 4:50pm
v45
· 10 months ago
v64
2024-01-18 4:51pm
Generated on Jan 18, 2024
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.
582 Total Images
View All Images
Dataset Split
Train Set 68%
397Images
Valid Set 21%
121Images
Test Set 11%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.