Dataset Versions
Versions
2024-10-18 8:10am
v56
· a month ago
2024-09-18 12:28pm
v55
· 2 months ago
2024-08-25 1:27pm
v54
· 3 months ago
2024-07-08 6:31pm
v53
· 5 months ago
2024-07-08 6:04pm
v52
· 5 months ago
2024-07-08 5:20pm
v51
· 5 months ago
2024-05-16 7:51am
v50
· 6 months ago
2024-04-30 7:47am
v49
· 7 months ago
2024-03-31 1:16pm
v48
· 8 months ago
2024-03-02 9:14am
v47
· 9 months ago
2024-02-16 6:16pm
v46
· 9 months ago
2024-01-29 10:43am
v45
· 10 months ago
2024-01-22 7:31am
v44
· 10 months ago
2024-01-15 1:18pm
v43
· 10 months ago
2024-01-15 1:04pm
v42
· 10 months ago
2024-01-10 3:43pm
v41
· a year ago
2024-01-10 11:50am
v40
· a year ago
2024-01-09 11:51am
v39
· a year ago
2024-01-02 2:10pm
v38
· a year ago
2024-01-01 12:16pm
v37
· a year ago
2023-12-27 8:58am
v36
· a year ago
2023-12-24 9:45am
v35
· a year ago
2023-12-20 6:55pm
v34
· a year ago
2023-12-20 5:31pm
v33
· a year ago
2023-12-19 7:59pm
v32
· a year ago
2023-12-18 7:19pm
v31
· a year ago
2023-12-17 8:17am
v30
· a year ago
2023-12-16 8:28pm
v29
· a year ago
2023-12-16 2:30pm
v28
· a year ago
2023-07-01 9:52am
v7
· a year ago
2023-06-25 11:49am
v6
· a year ago
v33
2023-12-20 5:31pm
Generated on Dec 20, 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.
496 Total Images
View All ImagesDataset Split
Train Set 70%
348Images
Valid Set 20%
98Images
Test Set 10%
50Images
Preprocessing
Auto-Orient: Applied
Augmentations
No augmentations were applied.