Dataset Versions
Versions
2024-09-20 4:48pm
v68
· 2 months ago
2024-09-14 3:39pm
v67
· 2 months ago
2024-08-02 1:41pm
v66
· 3 months ago
2024-07-25 5:31pm
v65
· 4 months ago
2024-07-23 12:25pm
v64
· 4 months ago
2024-07-19 10:27am
v63
· 4 months ago
2024-07-09 10:45am
v62
· 4 months ago
2024-06-24 4:23pm
v61
· 5 months ago
2024-06-11 1:52am
v60
· 5 months ago
2024-06-09 6:19pm
v59
· 5 months ago
2024-06-04 10:16pm
v58
· 5 months ago
2024-06-02 6:26pm
v57
· 5 months ago
2024-06-01 11:39am
v56
· 5 months ago
2024-05-30 1:06am
v53
· 6 months ago
2024-05-28 8:45am
v52
· 6 months ago
2024-05-24 12:25am
v51
· 6 months ago
2024-05-21 12:26am
v50
· 6 months ago
2024-05-19 4:47pm
v49
· 6 months ago
2024-05-16 10:55pm
v48
· 6 months ago
2024-05-15 1:07am
v47
· 6 months ago
2024-05-12 12:29am
v46
· 6 months ago
2024-05-10 11:17am
v45
· 6 months ago
2024-05-09 9:50pm
v44
· 6 months ago
2024-04-17 11:09pm
v43
· 7 months ago
2024-04-08 7:56pm
v42
· 7 months ago
2024-03-25 9:20pm
v41
· 8 months ago
v68
2024-09-20 4:48pm
Generated on Sep 20, 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.
5281 Total Images
View All ImagesDataset Split
Train Set 100%
5281Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.