Versions
Versions
2023-01-14 2:27am
v24
7461
640x640
Fit (reflect edges) in
2022-09-27 6:44pm
v23
7434
640x640
Fit (reflect edges) in
2022-09-08 2:27pm
v22
5178
2022-09-06 11:59am
v19
831
1080x1080
Stretch to
2022-09-05 3:16pm
v18
743
640x640
Stretch to
2022-09-05 2:49pm
v17
1695
640x640
Stretch to
2022-09-05 1:08pm
v16
1795
640x640
Stretch to
2022-09-04 11:14pm
v15
1075
640x640
Stretch to
2022-09-04 11:08pm
v14
1075
640x640
Stretch to
2022-09-04 11:06pm
v13
1075
640x640
Stretch to
2022-09-04 10:15pm
v12
1075
640x640
Stretch to
2022-08-05 8:11pm
v9
10319
416x416
Stretch to
2022-07-30 6:47pm
v7
1023
Fast
2022-07-28 12:51pm
v4
250
Fast
2022-07-25 1:49pm
v2
99
Fast
v22
2022-09-08 2:27pm
Generated on Sep 8, 2022
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.
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Choose another format.
5178 Total Images
View All Images
Dataset Split
Train Set 95%
4930Images
Valid Set 2%
123Images
Test Set 2%
125Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down