Dataset Versions
Versions
2023-06-26 11:11am
v33
· a year ago
2023-06-16 1:51pm
v32
· a year ago
2023-06-10 3:11pm
v31
· a year ago
2023-06-10 2:09pm
v30
· a year ago
2023-06-10 1:40pm
v28
· a year ago
2023-06-09 1:48pm
v27
· a year ago
2023-05-22 7:13am
v26
· 2 years ago
2023-05-20 7:49pm
v25
· 2 years ago
2023-05-20 7:07pm
v24
· 2 years ago
2023-05-20 6:34pm
v23
· 2 years ago
2023-05-20 5:00pm
v22
· 2 years ago
2023-05-20 8:39am
v21
· 2 years ago
2023-05-19 3:47pm
v20
· 2 years ago
2023-05-18 2:52pm
v19
· 2 years ago
2023-05-08 8:59am
v18
· 2 years ago
2023-05-08 8:26am
v17
· 2 years ago
2023-05-08 7:51am
v16
· 2 years ago
2023-05-07 8:45pm
v15
· 2 years ago
2023-05-07 8:10pm
v14
· 2 years ago
2023-05-07 7:34pm
v13
· 2 years ago
2023-05-07 7:14pm
v12
· 2 years ago
2023-05-07 6:09pm
v11
· 2 years ago
2023-05-05 1:49pm
v10
· 2 years ago
2023-05-05 1:16pm
v9
· 2 years ago
2023-05-05 1:15pm
v8
· 2 years ago
2023-03-07 12:19pm
v7
· 2 years ago
2023-03-07 12:18pm
v6
· 2 years ago
2023-03-07 12:17pm
v5
· 2 years ago
2023-03-07 12:11pm
v4
· 2 years ago
2023-03-07 12:02pm
v1
· 2 years ago
v18
2023-05-08 8:59am
Generated on May 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.
475 Total Images
View All Images
Dataset Split
Train Set 87%
414Images
Valid Set 4%
21Images
Test Set 8%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels