yolov5s Image Dataset
Versions
2023-07-10 7:39am
v24
Jul 10, 2023
2023-07-09 6:11pm
v23
Jul 9, 2023
2023-07-09 6:09pm
v22
Jul 9, 2023
2023-07-07 11:04pm
v21
Jul 7, 2023
2023-07-07 8:25am
v20
Jul 7, 2023
2023-07-05 2:24am
v19
Jul 4, 2023
2023-06-16 8:38pm
v18
Jun 16, 2023
2023-05-31 6:10am
v17
May 30, 2023
2023-05-30 11:49pm
v16
May 30, 2023
2023-05-30 9:15pm
v15
May 30, 2023
2023-05-29 10:42pm
v14
May 29, 2023
2023-05-29 8:02pm
v13
May 29, 2023
2023-05-29 6:30pm
v12
May 29, 2023
2023-05-29 10:34am
v11
May 29, 2023
2023-05-27 3:13pm
v10
May 27, 2023
2023-05-27 3:04pm
v9
May 27, 2023
2023-05-27 2:45pm
v8
May 27, 2023
2023-05-27 2:36pm
v7
May 27, 2023
2023-05-23 3:25pm
v6
May 23, 2023
2023-05-23 3:23pm
v5
May 23, 2023
2023-05-22 7:44am
v4
May 22, 2023
2023-05-22 6:23am
v3
May 21, 2023
2023-05-21 1:54pm
v2
May 21, 2023
2023-05-20 11:08pm
v1
May 20, 2023
v2
2023-05-21 1:54pm
Generated on May 21, 2023
Popular Download Formats
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.
714 Total Images
View All Images
Dataset Split
Train Set 82%
588Images
Valid Set 12%
84Images
Test Set 6%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 2
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
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