Dataset Versions
Versions
2024-04-02 12:39pm
v36
· 9 months ago
2024-04-02 12:28pm
v35
· 9 months ago
2024-04-02 12:27pm
v34
· 9 months ago
2024-04-02 12:05pm
v33
· 9 months ago
2024-04-02 11:56am
v32
· 9 months ago
2024-04-02 10:46am
v31
· 9 months ago
2024-04-02 10:20am
v30
· 9 months ago
2024-04-02 10:03am
v29
· 9 months ago
2024-04-02 9:42am
v28
· 9 months ago
2024-04-01 5:11pm
v27
· 9 months ago
2024-04-01 5:04pm
v26
· 9 months ago
2024-03-27 5:41pm
v25
· 9 months ago
2024-03-27 5:26pm
v24
· 9 months ago
2024-03-26 5:34pm
v23
· 9 months ago
2024-03-26 5:12pm
v22
· 9 months ago
2024-03-26 4:20pm
v21
· 9 months ago
2024-03-26 3:54pm
v20
· 9 months ago
2024-03-26 3:38pm
v19
· 9 months ago
2024-03-26 3:24pm
v18
· 9 months ago
2024-03-26 11:41am
v17
· 9 months ago
2024-03-26 11:27am
v16
· 9 months ago
2024-03-26 11:07am
v15
· 9 months ago
2024-03-25 5:58pm
v14
· 9 months ago
2024-03-25 5:07pm
v13
· 9 months ago
2024-03-18 10:23am
v12
· 10 months ago
2024-03-13 2:38pm
v11
· 10 months ago
2024-03-13 2:23pm
v10
· 10 months ago
2024-03-13 2:08pm
v9
· 10 months ago
2024-03-13 1:46pm
v8
· 10 months ago
2024-03-13 1:41pm
v7
· 10 months ago
2024-03-13 1:33pm
v6
· 10 months ago
2024-03-13 1:13pm
v5
· 10 months ago
2024-03-13 11:25am
v4
· 10 months ago
2024-03-13 11:05am
v3
· 10 months ago
2024-03-13 10:55am
v2
· 10 months ago
2024-03-13 10:27am
v1
· 10 months ago
v18
2024-03-26 3:24pm
Generated on Mar 26, 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.
195 Total Images
View All Images
Dataset Split
Train Set 88%
172Images
Valid Set 12%
23Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels