obj detection Image Dataset
Versions
2023-09-12 12:06am
v35
Sep 11, 2023
2023-09-12 12:05am
v34
Sep 11, 2023
2023-09-12 12:03am
v33
Sep 11, 2023
2023-09-12 12:02am
v32
Sep 11, 2023
2023-09-12 12:02am
v31
Sep 11, 2023
2023-09-12 12:01am
v30
Sep 11, 2023
2023-09-12 12:01am
v29
Sep 11, 2023
2023-09-09 11:55pm
v28
Sep 9, 2023
2023-09-09 11:54pm
v27
Sep 9, 2023
2023-09-09 11:53pm
v26
Sep 9, 2023
2023-09-09 11:52pm
v25
Sep 9, 2023
2023-09-09 11:51pm
v24
Sep 9, 2023
2023-09-09 11:51pm
v23
Sep 9, 2023
2023-09-04 9:28pm
v22
Sep 4, 2023
2023-09-04 9:28pm
v21
Sep 4, 2023
2023-09-04 9:27pm
v20
Sep 4, 2023
2023-08-29 1:44pm
v19
Aug 29, 2023
2023-08-29 1:42pm
v18
Aug 29, 2023
2023-08-29 1:40pm
v17
Aug 29, 2023
2023-08-29 1:39pm
v16
Aug 29, 2023
2023-08-12 1:55pm
v15
Aug 12, 2023
2023-08-12 1:44pm
v14
Aug 12, 2023
2023-08-12 1:26pm
v13
Aug 12, 2023
2023-08-12 1:26pm
v12
Aug 12, 2023
2023-08-12 1:25pm
v11
Aug 12, 2023
2023-08-11 11:48pm
v10
Aug 11, 2023
2023-08-11 11:27pm
v9
Aug 11, 2023
2023-08-11 11:26pm
v8
Aug 11, 2023
2023-08-11 11:24pm
v7
Aug 11, 2023
2023-08-11 11:23pm
v6
Aug 11, 2023
2023-08-06 5:07pm
v5
Aug 6, 2023
2023-08-01 12:15am
v4
Jul 31, 2023
2023-08-01 12:13am
v3
Jul 31, 2023
2023-08-01 12:08am
v2
Jul 31, 2023
2023-07-29 8:32pm
v1
Jul 29, 2023
v1
2023-07-29 8:32pm
Generated on Jul 29, 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.
579 Total Images
View All Images
Dataset Split
Train Set 100%
579Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 23-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 7.5px
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