Dataset Versions
Versions
2023-10-17 12:56am
v34
· a year ago
2023-10-15 6:27pm
v33
· a year ago
2023-10-15 3:01am
v32
· a year ago
2023-10-14 1:39am
v31
· a year ago
2023-10-13 2:40pm
v30
· a year ago
2023-10-12 12:22pm
v29
· a year ago
2023-10-12 7:20am
v28
· a year ago
2023-10-11 4:55pm
v27
· a year ago
2023-10-11 11:50am
v26
· a year ago
2023-10-10 12:51am
v25
· a year ago
2023-10-10 12:48am
v24
· a year ago
2023-10-09 3:03am
v23
· a year ago
2023-10-08 10:24pm
v21
· a year ago
2023-10-08 8:27am
v20
· a year ago
2023-10-07 3:38pm
v19
· a year ago
2023-10-07 3:52am
v18
· a year ago
2023-10-07 1:26am
v17
· a year ago
2023-10-06 8:41pm
v16
· a year ago
2023-10-06 6:37am
v15
· a year ago
2023-10-06 4:13am
v14
· a year ago
2023-10-06 2:22am
v13
· a year ago
2023-10-05 6:11am
v11
· a year ago
2023-10-05 3:00am
v9
· a year ago
2023-10-05 1:46am
v8
· a year ago
2023-10-04 11:44pm
v7
· a year ago
2023-10-04 11:19am
v6
· a year ago
2023-10-04 2:40am
v5
· a year ago
2023-10-04 12:18am
v4
· a year ago
2023-10-03 10:24pm
v3
· a year ago
2023-10-03 8:40pm
v2
· a year ago
v18
2023-10-07 3:52am
Generated on Oct 7, 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.
881 Total Images
View All ImagesDataset Split
Train Set 70%
620Images
Valid Set 20%
175Images
Test Set 10%
86Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.