object_detector Image Dataset
Versions
2023-03-17 6:36pm
v16
Mar 17, 2023
2023-03-17 3:52pm
v15
Mar 17, 2023
2023-03-16 10:46am
v14
Mar 16, 2023
2023-03-15 6:51am
v13
Mar 15, 2023
2023-03-15 6:31am
v12
Mar 15, 2023
2023-03-15 12:36am
v11
Mar 14, 2023
2023-03-14 9:11pm
v10
Mar 14, 2023
2023-03-14 6:15pm
v9
Mar 14, 2023
2023-03-14 6:06pm
v8
Mar 14, 2023
2023-03-14 4:16pm
v7
Mar 14, 2023
2023-03-14 4:15pm
v6
Mar 14, 2023
2023-03-14 3:38pm
v5
Mar 14, 2023
2023-03-13 4:57pm
v4
Mar 13, 2023
2023-03-11 2:12pm
v3
Mar 11, 2023
2023-03-11 1:52pm
v2
Mar 11, 2023
2023-03-11 1:49pm
v1
Mar 11, 2023
v8
2023-03-14 6:06pm
Generated on Mar 14, 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.
888 Total Images
View All Images
Dataset Split
Train Set 91%
810Images
Valid Set 5%
47Images
Test Set 3%
31Images
Preprocessing
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Shear: ±9° Horizontal, ±9° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
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