Dataset Versions
Versions
2024-05-06 10:05pm
v39
· 8 months ago
2024-05-06 4:18pm
v38
· 8 months ago
2024-05-03 4:16pm
v37
· 8 months ago
2024-05-03 2:29pm
v36
· 8 months ago
2024-05-02 4:22pm
v35
· 8 months ago
2024-05-02 1:40pm
v34
· 8 months ago
2024-04-30 7:59pm
v33
· 8 months ago
2024-04-30 7:43pm
v32
· 8 months ago
2024-04-30 3:31pm
v31
· 8 months ago
2024-04-29 6:35pm
v30
· 8 months ago
2024-04-29 3:51pm
v29
· 8 months ago
2024-04-29 1:17pm
v28
· 8 months ago
2024-04-29 12:38pm
v27
· 8 months ago
2024-04-28 3:57pm
v26
· 8 months ago
2024-04-28 3:30pm
v25
· 8 months ago
2024-04-27 7:42pm
v24
· 8 months ago
2024-04-27 3:50pm
v23
· 8 months ago
2024-04-27 3:50pm
v22
· 8 months ago
2024-04-26 5:47pm
v21
· 8 months ago
2024-04-26 5:07pm
v20
· 8 months ago
2024-04-25 10:49am
v18
· 8 months ago
2024-04-25 12:43am
v17
· 8 months ago
2024-04-23 8:04pm
v16
· 8 months ago
2024-04-23 7:56pm
v15
· 8 months ago
2024-04-22 7:50pm
v14
· 8 months ago
2024-04-22 4:21pm
v13
· 8 months ago
2024-04-12 12:32pm
v1
· 9 months ago
v38
2024-05-06 4:18pm
Generated on May 6, 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.
925 Total Images
View All ImagesDataset Split
Train Set 70%
648Images
Valid Set 20%
185Images
Test Set 10%
92Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.