Dataset Versions
Versions
2024-10-18 4:25am
v29
· a month ago
2024-10-16 7:49am
v28
· a month ago
2024-10-16 2:40am
v27
· a month ago
2024-09-11 1:37am
v26
· 2 months ago
2024-09-09 1:31am
v25
· 2 months ago
2024-08-30 2:10am
v24
· 3 months ago
2024-07-31 7:18am
v23
· 4 months ago
2024-07-22 2:50am
v22
· 4 months ago
2024-07-19 4:18am
v21
· 4 months ago
2024-04-22 11:50am
v20
· 7 months ago
2024-04-22 11:49am
v19
· 7 months ago
2024-04-17 1:07pm
v18
· 7 months ago
2024-04-17 11:33am
v17
· 7 months ago
2024-04-12 1:33pm
v16
· 7 months ago
2024-04-08 2:36pm
v15
· 7 months ago
2024-04-08 1:36pm
v14
· 7 months ago
2024-03-15 10:08am
v13
· 8 months ago
2024-03-14 12:06pm
v12
· 8 months ago
2024-03-13 12:15pm
v11
· 8 months ago
2024-03-12 10:40am
v10
· 8 months ago
2024-03-11 4:24pm
v9
· 8 months ago
2024-03-07 11:10am
v8
· 8 months ago
2024-03-06 12:08pm
v7
· 8 months ago
2024-03-06 11-56am
v6
· 8 months ago
2024-03-06 11:06am
v5
· 8 months ago
2024-03-06 11:04am
v4
· 8 months ago
2024-03-05 3:20pm
v3
· 8 months ago
2024-03-04 9:45pm
v2
· 8 months ago
2024-03-04 5:00pm
v1
· 8 months ago
v12
2024-03-14 12:06pm
Generated on Mar 14, 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.
345 Total Images
View All Images
Dataset Split
Train Set 80%
276Images
Valid Set 16%
54Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.