modelmobil Image Dataset
Versions
2023-09-06 6:04pm
v27
· 10 months ago
2023-08-31 12:03am
v26
· 10 months ago
2023-08-30 10:03pm
v24
· 10 months ago
2023-08-29 9:15pm
v23
· 10 months ago
2023-08-28 5:55pm
v22
· 10 months ago
2023-08-28 4:30pm
v21
· 10 months ago
2023-08-27 8:34pm
v20
· 10 months ago
2023-08-27 6:52pm
v19
· 10 months ago
2023-08-26 8:05pm
v18
· 10 months ago
2023-08-26 12:51pm
v17
· 10 months ago
2023-08-26 10:51am
v16
· 10 months ago
2023-08-26 12:47am
v15
· 10 months ago
2023-08-26 12:26am
v14
· 10 months ago
2023-08-26 12:03am
v13
· 10 months ago
2023-08-25 11:40pm
v12
· 10 months ago
2023-08-25 11:32pm
v11
· 10 months ago
2023-08-25 11:23pm
v10
· 10 months ago
2023-08-25 11:11pm
v9
· 10 months ago
2023-08-25 8:28pm
v8
· 10 months ago
2023-08-25 8:17pm
v7
· 10 months ago
2023-08-25 4:38pm
v5
· 10 months ago
2023-08-25 1:26pm
v4
· 10 months ago
2023-08-24 12:52pm
v3
· 10 months ago
2023-08-24 12:50pm
v2
· 10 months ago
2023-08-24 12:37pm
v1
· 10 months ago
v17
2023-08-26 12:51pm
Generated on Aug 26, 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.
790 Total Images
View All Images
Dataset Split
Train Set 85%
675Images
Valid Set 9%
68Images
Test Set 6%
47Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 26% of images
Saturation: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Similar Projects
Cars
300 images
cars
447 images
plat
1039 images
plat-cFmj
1039 images
Putih
1852 images