Dataset Versions
Versions
2024-04-27 5:30pm
v33
· 8 months ago
2024-04-27 3:06pm
v32
· 8 months ago
2024-04-27 11:40am
v31
· 8 months ago
2024-04-26 2:50pm
v30
· 8 months ago
2024-04-17 8:39am
v29
· 8 months ago
2024-04-17 8:26am
v28
· 8 months ago
2024-04-14 9:29pm
v27
· 8 months ago
2024-04-14 1:23pm
v24
· 8 months ago
2024-04-10 9:42am
v23
· 9 months ago
2024-04-10 9:34am
v22
· 9 months ago
2024-04-08 12:41pm
v21
· 9 months ago
2024-04-07 2:17pm
v20
· 9 months ago
2024-04-07 10:31am
v18
· 9 months ago
2024-03-31 8:07pm
v17
· 9 months ago
2024-03-31 7:57pm
v16
· 9 months ago
2024-03-23 10:16pm
v15
· 9 months ago
2024-03-23 10:09pm
v14
· 9 months ago
2024-03-19 9:55pm
v13
· 9 months ago
2024-03-16 11:51am
v12
· 9 months ago
2024-03-12 10:15pm
v11
· 9 months ago
2024-03-12 10:31am
v10
· 10 months ago
2024-03-12 10:30am
v9
· 10 months ago
2024-03-10 8:53pm
v8
· 10 months ago
2024-03-10 7:18pm
v7
· 10 months ago
2024-03-08 2:11pm
v6
· 10 months ago
2024-03-08 2:10pm
v5
· 10 months ago
2024-03-07 4:59pm
v4
· 10 months ago
2024-03-03 7:08pm
v2
· 10 months ago
2024-02-25 9:42pm
v1
· 10 months ago
v33
2024-04-27 5:30pm
Generated on Apr 27, 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.
753 Total Images
View All ImagesDataset Split
Train Set 85%
637Images
Valid Set 10%
75Images
Test Set 5%
41Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°