TRY THIS MODEL
Drop image here to test
eggplant-and-weeds-detection/3 (latest)
Go to Universe Home
Sign In
Sign In or Sign Up
Roboflow App
Roboflow App
Documentation
Documentation
Documentation
Edit Project
Eggplant and Weeds Detection
Object Detection
Overview
Images
1008
Dataset
12
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
Augmented 3x -4 AGS - Reduced 1k - 320x320
v12
·
a year ago
Augmented 3x - Reduced 1k - 320x320
v11
·
a year ago
Raw - Reduced 1k - 320x320
v10
·
a year ago
Raw - Reduced 1k - 224x224
v9
·
a year ago
Augmented - Reduced 1k - 640x640
v8
·
a year ago
Raw - Reduced 1k - 640x640
v7
·
a year ago
Augmented - 1k - 640x640
v6
·
a year ago
Raw - 1k - 640x640
v5
·
a year ago
Raw - 320 x 320
v4
·
a year ago
Raw - 224 x 224
v3
·
a year ago
2nd Version - Augmented - 640x640
v2
·
a year ago
1st Version - Normal - 640x640
v1
·
a year ago
v2
2nd Version - Augmented - 640x640
Generated on Mar 4, 2024
Download
Dataset
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.
1953
Total Images
View All Images
Dataset Split
Train Set
92%
1801
Images
Valid Set
4%
76
Images
Test Set
4%
76
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit (black edges) in 640x640
Augmentations
Outputs per training example:
3
Rotation:
Between -15° and +15°
Brightness:
Between -25% and +0%
Similar Projects
See More