Dataset Versions
Versions
2024-06-08 2:41pm
v30
· 6 months ago
2024-05-04 3:46pm
v29
· 8 months ago
2024-05-04 3:40pm
v28
· 8 months ago
2024-04-27 3:45pm
v27
· 8 months ago
2023-08-21 7:12pm
v26
· a year ago
2023-08-16 7:21pm
v25
· a year ago
2023-07-15 10:16am
v24
· a year ago
2023-06-29 4:41pm
v23
· a year ago
2023-06-25 8:31pm
v22
· a year ago
2023-06-25 10:43am
v21
· a year ago
2023-06-25 9:37am
v20
· a year ago
2023-06-23 1:37pm
v19
· a year ago
2023-06-23 7:54am
v18
· a year ago
2023-06-21 6:30am
v17
· 2 years ago
2023-06-17 8:36pm
v16
· 2 years ago
2023-06-16 7:37pm
v15
· 2 years ago
2023-06-16 6:44pm
v14
· 2 years ago
2023-06-15 7:25pm
v13
· 2 years ago
2023-06-08 7:04pm
v12
· 2 years ago
2023-06-08 6:41pm
v11
· 2 years ago
2023-05-31 4:47pm
v10
· 2 years ago
2023-05-31 4:28pm
v9
· 2 years ago
2023-02-18 1:12pm
v8
· 2 years ago
2023-02-18 1:11pm
v7
· 2 years ago
2023-02-18 1:08pm
v6
· 2 years ago
2023-02-18 12:46pm
v5
· 2 years ago
2023-02-18 12:44pm
v4
· 2 years ago
2023-02-18 11:54am
v3
· 2 years ago
v13
2023-06-15 7:25pm
Generated on Jun 15, 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.
927 Total Images
View All ImagesDataset Split
Train Set 80%
739Images
Valid Set 10%
94Images
Test Set 10%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.