Dataset Versions
Versions
2024-10-18 9:50am
v27
· a month ago
2024-09-11 8:03am
v26
· 2 months ago
2024-04-14 3:44pm
v25
· 7 months ago
2023-08-12 8:49am
v24
· a year ago
2023-06-12 11:13am
v23
· a year ago
2023-06-12 10:43am
v22
· a year ago
2023-06-08 10:31am
v21
· a year ago
2023-06-08 10:22am
v20
· a year ago
2023-06-07 12:04pm
v19
· a year ago
2023-06-06 10:49am
v18
· a year ago
2023-06-06 10:48am
v17
· a year ago
2023-05-21 8:04pm
v16
· a year ago
2023-05-20 12:59pm
v15
· a year ago
2023-05-19 2:41pm
v14
· a year ago
2023-05-19 1:55pm
v13
· a year ago
2023-05-19 1:46pm
v12
· a year ago
2023-05-19 10:46am
v11
· a year ago
2023-05-19 10:41am
v10
· a year ago
2023-05-19 10:35am
v9
· a year ago
2023-05-19 10:28am
v8
· a year ago
2023-05-19 10:16am
v7
· a year ago
2023-05-18 9:08pm
v6
· a year ago
2023-05-18 8:46pm
v5
· a year ago
2023-05-18 3:12pm
v4
· a year ago
2023-05-18 2:58pm
v3
· a year ago
2023-05-18 12:48pm
v2
· a year ago
2023-05-18 11:34am
v1
· a year ago
v26
2024-09-11 8:03am
Generated on Sep 11, 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.
157 Total Images
View All ImagesDataset Split
Train Set 69%
109Images
Valid Set 17%
27Images
Test Set 13%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
No augmentations were applied.