Dataset Versions
Versions
2022-12-05 2:38pm
v30
· 2 years ago
2022-09-07 3:15pm
v28
· 2 years ago
2022-09-05 10:01am
v27
· 2 years ago
2022-09-02 12:16am
v26
· 2 years ago
2022-09-01 12:01pm
v25
· 2 years ago
2022-09-01 11:53am
v24
· 2 years ago
2022-08-29 5:47pm
v23
· 2 years ago
2022-08-24 10:24am
v22
· 2 years ago
2022-08-24 10:07am
v21
· 2 years ago
2022-08-24 9:51am
v20
· 2 years ago
2022-08-23 11:28am
v19
· 2 years ago
2022-08-23 11:07am
v18
· 2 years ago
2022-08-23 11:05am
v17
· 2 years ago
2022-08-12 12:38pm
v16
· 2 years ago
2022-08-12 11:08am
v15
· 2 years ago
2022-08-12 11:00am
v14
· 2 years ago
2022-08-09 1:03pm
v13
· 2 years ago
2022-08-02 12:29am
v12
· 2 years ago
2022-08-02 12:25am
v11
· 2 years ago
2022-08-01 3:44pm
v10
· 2 years ago
2022-08-01 3:41pm
v9
· 2 years ago
2022-08-01 3:37pm
v8
· 2 years ago
Final Version
v7
· 2 years ago
2022-08-01 3:20pm
v6
· 2 years ago
2022-08-01 3:17pm
v5
· 2 years ago
2022-08-01 1:15pm
v4
· 2 years ago
2022-08-01 12:50pm
v3
· 2 years ago
2022-08-01 11:31am
v2
· 2 years ago
2022-07-29 4:15pm
v1
· 2 years ago
v10
2022-08-01 3:44pm
Generated on Aug 1, 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.
Other Formats
Choose another format.
209 Total Images
View All ImagesDataset Split
Train Set 79%
165Images
Valid Set 21%
44Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -40% and +40%
Blur: Up to 1px