Dataset Versions
Versions
2022-09-09 6:38pm
v30
· 2 years ago
2022-09-09 3:36pm
v29
· 2 years ago
2022-09-02 10:55am
v28
· 2 years ago
2022-09-02 10:51am
v27
· 2 years ago
2022-09-02 10:45am
v26
· 2 years ago
2022-09-02 10:37am
v25
· 2 years ago
2022-09-02 10:35am
v24
· 2 years ago
2022-09-02 10:34am
v23
· 2 years ago
2022-09-02 10:33am
v22
· 2 years ago
2022-09-02 10:31am
v21
· 2 years ago
2022-09-02 10:29am
v20
· 2 years ago
2022-09-02 10:19am
v19
· 2 years ago
2022-09-02 10:16am
v18
· 2 years ago
2022-09-02 9:45am
v17
· 2 years ago
2022-09-01 4:18pm
v16
· 2 years ago
2022-09-01 4:13pm
v15
· 2 years ago
2022-09-01 4:11pm
v14
· 2 years ago
2022-09-01 4:06pm
v13
· 2 years ago
2022-09-01 2:06pm
v12
· 2 years ago
2022-09-01 12:43pm
v11
· 2 years ago
2022-08-31 5:47pm
v10
· 2 years ago
2022-08-31 5:44pm
v9
· 2 years ago
2022-08-23 12:43pm
v8
· 2 years ago
2022-08-23 11:12am
v7
· 2 years ago
2022-08-16 11:33am
v6
· 2 years ago
2022-08-16 11:31am
v5
· 2 years ago
2022-08-16 11:17am
v4
· 2 years ago
2022-08-16 11:15am
v3
· 2 years ago
2022-08-16 11:06am
v2
· 2 years ago
2022-08-12 12:01pm
v1
· 2 years ago
v30
2022-09-09 6:38pm
Generated on Sep 9, 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.
229 Total Images
View All Images
Dataset Split
Train Set 98%
225Images
Valid Set %
0Images
Test Set 2%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%