Dataset Versions
Versions
QH
v47
· 10 months ago
QD
v46
· 10 months ago
KS
v45
· 10 months ago
KH
v44
· 10 months ago
KD
v43
· 10 months ago
KC
v42
· 10 months ago
JS
v41
· 10 months ago
JH
v40
· 10 months ago
JD
v39
· 10 months ago
JC
v38
· 10 months ago
AH
v37
· 10 months ago
AD
v36
· 10 months ago
AC
v35
· 10 months ago
9S
v34
· 10 months ago
9H
v32
· 10 months ago
9D
v31
· 10 months ago
9C
v30
· 10 months ago
8S
v29
· 10 months ago
8H
v28
· 10 months ago
8D
v27
· 10 months ago
8C
v26
· 10 months ago
7S
v25
· 10 months ago
7D
v24
· 10 months ago
7C
v23
· 10 months ago
6S
v22
· 10 months ago
6D
v21
· 10 months ago
6C
v20
· 10 months ago
5S
v19
· 10 months ago
5H
v18
· 10 months ago
5D
v17
· 10 months ago
5C
v16
· 10 months ago
4H
v15
· 10 months ago
4D
v14
· 10 months ago
3H
v13
· 10 months ago
3D
v12
· 10 months ago
3C
v11
· 10 months ago
2S
v10
· 10 months ago
2H
v9
· 10 months ago
2D
v8
· 10 months ago
2C
v7
· 10 months ago
10S
v6
· 10 months ago
10H
v5
· 10 months ago
10D
v4
· 10 months ago
10C
v3
· 10 months ago
2024-02-12 5:34pm
v2
· 10 months ago
v32
9H
Generated on Feb 22, 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.
91 Total Images
View All ImagesDataset Split
Train Set 100%
91Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 43 dropped
Filter Null: Require all images to contain annotations.
Augmentations
No augmentations were applied.